The iPad Air is now available in two size options, just like the iPad Pro. Yet after a significant update to the iPad Pro that introduces a thinner design and OLED displays, how different are the two product lines and which should you buy?
The introduction of the fourth-generation iPad Air in September 2020 brought the device much closer to the iPad Pro in terms of design, and with the most recent model, the iPad Air gained the same M2 chip and Apple Pencil hover support as the previous iPad Pro, bringing them even closer together. The latest iPad Pro models introduced a large number of significant new changes, such as the M4 chip, OLED displays, and a higher price point, and it means that the high-end iPad models are now further differentiated from the iPad Air than before.
Should you consider purchasing the iPad Air to save money, or do you need the high-end features of the iPad Pro? Our guide answers the question of how to decide which of these two iPads is best for you.
iPad Air (M2, 2024)
iPad Pro (M4, 2024)
Liquid Retina display LED backlit Multi-Touch display with IPS technology
Ultra Retina XDR display Tandem OLED
ProMotion technology for refresh rates up to 120Hz
SDR brightness: 600 nits max
SDR brightness: 1,000 nits max XDR brightness: 1,000 nits max full screen, 1,600 nits peak (HDR content only)
Nano-texture display glass option on 1TB and 2TB models
Portrait mode with advanced bokeh and Depth Control
Portrait Lighting with six effects (Natural, Studio, Contour, Stage, Stage Mono, High-Key Mono)
Animoji and Memoji
LiDAR scanner
Adaptive True Tone flash
Rear ambient light sensor
ProRes video recording up to 4K at 30 fps (1080p at 30 fps for 256GB capacity)
ProRes video recording up to 4K at 60 fps with external recording
Two microphones
Four studio-quality microphones
Audio zoom
Stereo recording
Landscape stereo speakers
Four speaker audio
Weight: 462 grams or 617 grams
Weight 444 grams or 579 grams
Depth: 6.1 mm
Depth: 5.3 mm or 5.1 mm
USB‑C connector
USB‑C connector with support for Thunderbolt / USB 4
Supports Magic Keyboard
Supports Magic Keyboard for iPad Pro (M4)
128GB, 256GB, 512GB, or 1TB storage
256GB, 512GB, 1TB, or 2TB storage
Available in Space Gray, Starlight, Purple, and Blue
Available in Space Black and Silver
Price starting at $599
Price starting at $999
Overall, the iPad Air is the better option for the majority of users, simply on the basis of value for money. For most people, the additional $400+ needed to buy the iPad Pro is not justified to get the likes of Face ID, four-speaker audio, and a ProMotion OLED display with refresh rates up to 120Hz.
Some iPad Pro features, such as LiDAR, up to 16GB of memory, and Thunderbolt connectivity are only practically useful to a small niche of users and most will never use some of these high-end capabilities. Many features such as Audio zoom and stereo audio recording may not be meaningfully utilized by many users.
Professionals who have a clear use case for needing larger amounts of RAM and storage, a matte display, Thunderbolt connectivity, and OLED for HDR content will clearly benefit from buying the iPad Pro. That being said, “prosumer”-style customers who simply want the best iPad will enjoy features such as 120Hz ProMotion for smoother scrolling and gaming, deeper blacks and more vivid colors with the OLED display, and the Adaptive True Tone flash for document scanning, even if they are not necessary.
Beyond these individual circumstances, the iPad Air is the best value for money and will be more than ample for most users’ needs. With the iPad Air, users can get a modern all-screen design, the M2 chip, practical features like USB-C and 5G connectivity, and compatibility with the core Apple accessories for a price well below that of the iPad Pro.
Apple’s new iPad Pro models come almost a year and a half after their predecessors, offering 25 significant changes and upgrades.
The 2022 iPad Pro was a minor upgrade that added the M2 chip and Apple Pencil hover, as well as support for Wi-Fi 6E, Bluetooth 5.3, and Smart HDR 4. The 2024 refresh is much more substantial, with more than two dozen changes and generation-over-generation improvements.
The 2022 iPad Pro models have now been discontinued by Apple, but they may still be found refurbished and with third-party resellers for lower prices. As such, some customers may be weighing up whether to buy the 2022 iPad Pro or the new 2024 models.
The iPad Pros from 2022 and 2024 share many of their key features, so should you consider buying or sticking with the older model to save money? This breakdown also serves as a way to clearly see all the differences that the new iPad Pro brings to the table.
iPad Pro (2022)
iPad Pro (2024)
11- or 12.9-inch display
11- or 13-inch display
Liquid Retina or Liquid Retina XDR display LED or mini-LED backlit display with IPS
Ultra Retina XDR display Tandem OLED
SDR brightness: 600 nits max
SDR brightness: 1000 nits max
Nano-texture display glass option on 1TB and 2TB models
Hardware-accelerated H.264, HEVC, ProRes, and ProRes RAW
Hardware-accelerated 8K H.264, HEVC, ProRes, and ProRes RAW
ProRes encode and decode engine
ProRes encode and decode engine AV1 decode
100GB/s memory bandwidth
120GB/s memory bandwidth
Improved thermal design with graphite sheets and copper
10MP ƒ/2.4 Ultra Wide camera
2x optical zoom out and digital zoom up to 5x
Digital zoom up to 5x
ProRes video recording up to 4K at 60 fps with external recording
True Tone flash
Adaptive True Tone flash
Rear ambient light sensor
12MP Ultra Wide front-facing camera
Landscape 12MP Ultra Wide front-facing camera
Sub-6GHz and mmWave 5G support
Sub-6GHz 5G support only
Physical SIM card slot
eSIM only
Depth: 5.9mm or 6.4mm
Depth: 5.3mm or 5.1mm
Weight: 1.03 pounds (466 grams) or 1.5 pounds (682 grams)
Weight: 0.98 pounds (444 grams) or 1.28 pounds (579 grams)
Supports Apple Pencil (USB‑C) and Apple Pencil (2nd generation)
Supports Apple Pencil (USB‑C) and Apple Pencil Pro
Supports Magic Keyboard for iPad and Smart Keyboard Folio
Supports Magic Keyboard for iPad Pro (M4)
Available with 128GB, 256GB, 512GB, 1TB, and 2TB storage
Available with 256GB, 512GB, 1TB, and 2TB storage
Available in Silver and Space Gray
Available in Silver and Space Black
Overall, the new iPad Pro is an unusually significant upgrade over the previous generation, offering a large number of improvements that meaningfully improve the hardware experience with the device. The move to a high-end OLED display, thinner and lighter design, Adaptive True Tone flash, and landscape 12MP Ultra Wide front-facing camera are noticeable improvements that almost all users will benefit from. Features like the M4 chip, nano-texture display option, and Apple Pencil Pro support have the potential to enhance specific tasks and processes with the device, which could be particularly important to the likes of content creators and digital artists.
However, it is important to note that the new iPad Pro does not have any software advantages over previous versions of the device. Upgrading to the latest model is unlikely to dramatically change workflows, but it should offer a better overall experience. Users with an older iPad Pro, such as a 2018 model or older, have considerably more to gain by upgrading.
Apple’s new iPad Airs arrive almost a year and a half after the previous models, offering almost 20 changes and upgrades.
The 2022 iPad Air was a minor upgrade that added features such as the M1 chip and a 12MP Ultra Wide front-facing camera with Center Stage. The 2024 refresh is more substantial, headlining with a larger size option for the first time, bringing it in line with devices like the iPad Pro, MacBook Air, and MacBook Pro, which are available in two sizes.
The 2022 iPad Air models have now been discontinued by Apple, but they may still be found refurbished and with third-party resellers for lower prices. As such, some customers may be weighing up whether to buy the 2022 iPad Air or the new 2024 models.
The iPad Airs from 2022 and 2024 share most of their key features, so should you consider buying or sticking with the older model to save money? This breakdown also serves as a way to clearly see all the differences that the new iPad Air brings to the table.
Supports Apple Pencil (USB-C) and Apple Pencil (2nd generation)
Supports Apple Pencil (USB-C) and Apple Pencil Pro
Supports Magic Keyboard for iPad and Smart Keyboard Folio
Supports Magic Keyboard for iPad
64GB or 256GB storage
128GB, 256GB, 512GB, or 1TB storage
Available in Space Gray, Starlight, Pink, Purple, and Blue
Available in Space Gray, Starlight, Purple, and Blue
The most important part of the new iPad Air is the larger display size option, which provides a way for customers who don’t need features like ProMotion and a LiDAR scanner to obtain a bigger screen that’s better for productivity and content consumption at a lower price point. Beyond this larger new model, the M2 chip, Apple Pencil hover and Apple Pencil Pro support, and landscape front-facing camera are valuable improvements. That being said, it is certainly not essential to upgrade from the previous model to the new iPad Air. Unless you have an entry-level iPad or an iPad Air from before 2020, or explicitly want a 13-inch model, it is likely not worth upgrading.
Apple is expected to announce iOS 18 during its WWDC keynote on June 10, and new features have already been rumored for many apps, including Apple Music, Apple Maps, Calculator, Messages, Notes, Safari, and others. Below, we recap iOS 18 rumors on a per-app basis, based on reports from MacRumors, Bloomberg’s Mark Gurman, and others: Apple Maps: At least two new Apple Maps features are…
Apple will be holding its first event of the year this Tuesday, May 7 at 7 a.m. Pacific Time, with a live stream to be available on Apple.com and on YouTube. How long will the event be? In his newsletter today, Bloomberg’s Mark Gurman said the video will have a runtime of “around 35 minutes.” Apple is expected to announce new iPad Pro and iPad Air models, along with updated Apple Pencil…
It’s been a long time since the last one, but an Apple event is finally right around the corner! While it’s anticipated to be a fairly short pre-recorded affair, we’re expecting to see the first updates to the iPad lineup in over a year and half, so make sure to tune in to see what Apple has in store. Other news and rumors this week included a couple of product introductions from Apple’s…
Apple today announced that iOS 17.5 will be released to the public “soon,” following over a month of beta testing. While the software update is relatively minor, it does have a few new features and changes, as outlined in the list below. “The new Pride Radiance watch face and iPhone and iPad wallpapers will be available soon with watchOS 10.5, iOS 17.5, and iPadOS 17.5,” said Apple, in its…
Apple today announced a new Pride Edition Braided Solo Loop Apple Watch band, watch face, and wallpaper. The band features a fluorescent design inspired by multiple pride flags with a laser-etched lug that reads “PRIDE 2024.” Black, Hispanic, and Latin communities, as well as those impacted by HIV/AIDS, are represented on the band by the black and brown colors, while transgender and…
After over a year of reports, there are now more than a dozen specific rumors about the features and improvements set to be offered by the two non-Pro iPhone 16 models later in 2024.
All of the changes the iPhone 16 models are expected to feature compared to their direct forerunners are listed below, using information from a range of reliable sources that we have previously covered. We will update this article as more rumors emerge in the coming months.
The iPhone 16 and iPhone 16 Plus are expected to largely carry over the design of their predecessors, meaning that they will have the same dimensions. The most noticeable alteration that will denote the new models is said to be a vertical rear camera arrangement to facilitate spatial video capture, but the removal of the mute switch in favor of the Action button introduced on last year’s Pro models and the introduction of an all-new “Capture” button will also be important changes.
iPhone 15
iPhone 16
Diagonally arranged rear camera array
Vertically arranged rear camera array to support spatial video capture
Ring/Silent switch
Action Button
“Capture Button” to trigger photography and videography features
The iPhone 16 models are rumored to benefit from a moderate improvement in processing power thanks to an all-new A18 chip with a more powerful Neural Engine to support exclusive generative AI capabilities. We are also expecting 33% more memory and Wi-Fi 6E support.
Enhanced Neural Engine with “significantly” more cores to support new AI features
6GB memory
8GB memory (+33%)
Wi-Fi 6 connectivity
Wi-Fi 6E connectivity
Batteries and Charging
The iPhone 16 models could receive some major improvements in battery technology and charging, sporting denser batteries and faster charging capabilities. It is worth noting that the iPhone 16 Plus is rumored to feature a smaller battery than its predecessor, but it is not clear how this will affect actual battery life.
iPhone 15
iPhone 16
Single-layer battery technology
Stacked battery technology for increased energy density and prolonged lifespan
iPhone 15: 3,349 mAh battery iPhone 15 Plus: 4,383 mAh battery
iPhone 16: 3,561 mAh battery (+6%) iPhone 16 Plus: 4,006 mAh battery (-9%)
The iPhone 16 models are likely to receive several camera enhancements, such as spatial video capture for the Apple Vision Pro. While many of Apple’s devices are rumored to receive a series of new AI-based features via software updates later this year, the iPhone 16 models are expected to take these further with exclusive capabilities facilitated by a more powerful Neural Engine in the A18 chip and an upgraded microphone for voice commands.
iPhone 15
iPhone 16
More efficient OLED display with brighter micro-lens technology
Upcoming support for new AI features in iOS 18, plus a suite of device-exclusive AI features
Microphone
Upgraded microphone with improved signal-to-noise ratio and water resistance, designed to support new AI features
Available in Blue, Pink, Green, Yellow, and Black
Available in Blue, Pink, Green, Yellow, Black, White, and Purple
Release Date
The iPhone 16 and iPhone 16 Plus are expected to launch in the fall. Apple usually hosts an event every September to unveil new iPhone models, with launch following just over a week later. For more information about the iPhone 16 models, see our comprehensive roundup.
Will It Be Worth Upgrading?
The iPhone 15 was a significant upgrade over 2023’s iPhone 14, introducing a new design with a the Dynamic Island, a 48-megapixel camera, a USB-C port, and more. The iPhone 16’s upgrades will likely not be as substantial as those offered by its predecessor. As a result, most iPhone 15 users will have little reason to upgrade, but some who would appreciate AI features, improved performance, spatial video capture, and a dedicated button for photography and videography features may find it worthwhile.
Horizon Forbidden Westhas come to PC, and it’s given me another reason not to buy a PS5. I’ve bought every generation of PlayStation console since the OG model, but with Sony‘s shift to (belatedly) porting most of its exclusives to PC, it just doesn’t seem worth splashing out on a new console when I can just wait for the games I want to play to come to me.
So, I was very happy to hear that Horizon Forbidden West was going to be ported to PC. As a big fan of the original game, which I played on PS4, I’d been looking forward to playing it.
Of course, as a visually-impressive first-party game from Sony, I was also keen to see how it performed on our 8K rig. As you can see in the specs box on the right, our rig has remained largely unchanged for over a year. This is because it remains a formidable machine – and, crucially, the Nvidia GeForce RTX 4090 graphics card that does the bulk of the work when gaming has yet to be beaten. It remains the best graphics card money can buy.
With rumors swirling that Sony is planning on releasing a more powerful PS5 Pro console in the near future that could target 8K resolutions through a mix of more powerful hardware and upscaling technology, Horizon Forbidden West at 8K on PC may give us an idea of the kind of visuals future PlayStation games may offer.
It also suggests what obstacles Sony will face if the PS5 Pro will indeed target 8K resolutions. Despite being almost two years old, the RTX 4090 GPU still costs more than its original launch price, hovering around $2,000/£2,000. While the PS5 Pro will likely be more expensive than the standard PS5, there’s no way it’ll be even half the price of Nvidia’s GPU – and that’s before you add in the cost of the other PC components required. Basically, you can’t currently buy an affordable 8K gaming machine that is priced for mainstream success. That’s the scale of the challenge Sony faces.
(Image credit: Future)
Spoilt for choice
One of the best things about Sony’s initiative to bring its games to PC, apart from giving me an excuse not to spend money I don’t have on a PS5, is that they usually come with an excellent choice of PC-centric options, including support for upscaling technology from Nvidia and support for ultrawide monitors.
Horizon Forbidden West continues this streak, and the PC port has been handled by Nixxes Software, which has handled many previous PlayStation to PC ports.
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This latest release is particularly noteworthy as not only does it support DLSS 3 for Nvidia RTX graphics, but it also supports competing upscaling tech in the form of AMD FSR 2.2 and Intel XeSS.
All three of these features allow the game to run at a lower resolution, with the images upscaled so that the game appears at a higher resolution, but without the additional strain on your PC’s graphics card.
This mainly allows less powerful GPUs to hit resolutions with graphical effects enabled that they usually wouldn’t be able to handle. It also allows the mighty RTX 4090 to reach the demanding 8K resolution (7680 × 4320) in certain games while maintaining a playable framerate.
By supporting the three major upscaling tools, Horizon Forbidden West gives users much more choice (both FSR and XeSS work for a range of GPUs, while DLSS is exclusive to recent Nvidia GPUs) – and it also gives me a chance to see which upscaling tech performs the best.
(Image credit: Sony)
First up: DLSS
First, I played Horizon Forbidden West at the 8K resolution of 7680 × 4320 and the graphics preset at ‘Very High’ – which is the highest quality on offer. With DLSS turned off (so the game is running at native 8K), my 8K test rig managed to run Horizon Forbidden West at an average of 32 frames per second (fps).
Considering that this is a graphically-intensive game and running at the highest graphics and at a resolution that’s pushing around 33 million pixels, this is very impressive, and is a testament to the raw power of the RTX 4090, the rest of the components inside the rig built by Stormforce Gaming, and the talents of Guerrilla Games (developers of the game) and Nixxes Software.
I feel that 30fps is the minimum frame rate for a playable game, so if you wanted to play Horizon Forbidden West at a native 8K resolution, that’s certainly possible. If you drop the graphics preset, then the frame rate will go up – though at the cost of graphical fidelity.
Of course, you don’t spend around $2,000 on a GPU to get 32fps in a game, so I turned on DLSS and set it to ‘Quality’, which minimizes the amount of upscaling performed to preserve image quality as much as possible. This led the average framerate to jump to 45fps, with a maximum frames per second of 60.7fps.
One thing to note with my results, which you can view in the chart above, is that because Horizon Forbidden West doesn’t have a built-in benchmark tool, I had to play the same section over and over again, using MSI Afterburner to record my framerate. I chose a section of the game with large open spaces, water effects and a combat encounter, and I tried to make each playthrough, lasting around eight minutes, as similar as possible. However, my playthroughs weren’t identical, as some things, such as enemy attacks, would change, and this explains why there are some discrepancies between results. Still, it should give you a good idea of the difference each setting makes.
Next, I turned ‘Frame Generation’ on. This is a new feature exclusive to DLSS 3 and Nvidia’s RTX 4000 series of cards. It uses AI to generate and insert frames between normal frames rendered by the GPU. The goal is to make games feel even smoother with higher, more consistent framerates while maintaining image quality.
As the chart shows, this gave the game another bump in frames per second. I then tested the other DLSS settings with Frame Generation left on.
With DLSS set to Ultra Performance, I hit 59.3fps at 8K – basically the 60fps goal I aim for in these tests, which offers a balance of image quality and performance. With Ultra Performance, the RTX 4090 is rendering the game at a much lower resolution, then using DLSS to upscale to 8K, and this reliance on upscaling can lead to an image quality that can suffer from a lack of sharpness and detail, and graphical artifacts. The good news is that DLSS 3 is a big improvement over previous versions, and the hit to graphic quality is far less noticeable these days.
So, thanks to DLSS, you can indeed play Horizon Forbidden West at 8K. But how does AMD and Intel’s rival technologies cope?
(Image credit: Sony Interactive Entertainment)
AMD FSR 2.2 tested
AMD’s FSR 2.2 technology isn’t as mature as Nvidia’s DLSS 3, but it has a noteworthy feature that DLSS lacks: it’s open source and doesn’t just work with AMD graphics cards – Nvidia and Intel GPUs can make use of it as well.
This makes it far more accessible than DLSS, which is exclusive to new and expensive Nvidia GPUs, and for many people this flexibility makes up for any shortfall in performance.
As you can see from my results above, FSR 2.2 provides a decent jump in frame rates compared to running Horizon Forbidden West natively at 8K, though at each quality setting, it doesn’t quite keep up with DLSS 3’s results.
The best results I managed was with FSR set to ‘Ultra Performance’, where it hit 55.2fps on average. Below DLSS 3’s best results, but certainly not bad, and close to doubling the performance of the game compared with playing it natively.
As well as being unable to hit the same highs as DLSS 3, AMD FSR 2.2’s image quality at Ultra Performance isn’t quite as good as DLSS 3 at similar settings, with a few instances of shimmering and ghosting becoming noticeable during my playthrough.
(Image credit: Sony)
Intel XeSS results
Finally, I tested out Intel’s XeSS technology. While there is a version of XeSS designed to run with Intel Arc graphics cards, as with FSR you can use XeSS with various GPU brands, so there is yet another upscaling tool that gamers can try out. As with most things, the more choice there is for consumers, the better.
XeSS hasn’t been around for as long as DLSS or FSR, and as you can see from the results above, it wasn’t able to match either of Nvidia or AMD’s solutions. There’s no ‘Ultra Performance’ mode either, so XeSS hits its highest framerates with XeSS set to ‘Performance’, with an average of 50.6fps. This leads to a perfectly playable experience at 8K, but it’s noticeably more sluggish than when playing with DLSS at Ultra Performance.
However, it still gives you a decent fps bump over native 8K, and with Intel being one of the biggest proponents of artificial intelligence, I’m pretty confident that XeSS performance will improve as the technology matures. The fact that you can use it with GPUs from Intel’s rivals is also a big plus.
(Image credit: Sony)
Conclusion: DLSS for the win (again)
Once again, DLSS 3 has proved to be the best way of getting a game to run at 8K and 60fps with minimal compromises.
Not only did it allow the RTX 4090 to hit 59.3fps on average while playing Horizon Forbidden West, but it also looked the best with minimal impact to image quality.
This may not come as too much of a surprise – DLSS has been around for quite a while now, and Nvidia has been putting a lot of work into improving the technology with each release.
Also, while Nvidia’s preference for proprietary tech means you need the latest RTX 4000 series of GPUs to get the most out of it, this does at least mean Team Green can make use of exclusive features of its GPUs such as Tensor Cores. With AMD and Intel’s more open implementations, they are unable to target specific hardware as easily – though FSR and XeSS are available to a much wider range of PC gamers.
And, while FSR doesn’t quite match DLSS performance with Horizon Forbidden West, it comes close, and if you don’t have an Nvidia GPU, this is a fine alternative. As for XeSS, it shows plenty of promise.
So, upscaling tech has made gaming at 8K on PC achievable, and it’s great to see increased choices for users. So, if Sony is indeed working on a PS5 Pro that aims to run games like Horizon Forbidden West at 8K, it’s going to have to come up with its own upscaling tech (or adapt FSR or XeSS) if it wants to compete.
Let’s dive into the world of Claude 3, developed by a company called Anthropic. They’ve created three versions of this model: Haiku, Sonnet, and Opus. Each one is tailored for different uses, with Opus being the most advanced and requiring a subscription. When it comes to benchmarks, which are tests to measure performance, Claude 3 is a standout, particularly in coding tasks. It understands and follows complex instructions better than its competitors, which is a big deal for people who write software.
Features of Claude 3
Claude 3 AI models surpass benchmarks, outperforming competitors like GPT-4 and Gemini’s 1.0 Ultra.
The family includes Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus, with increasing intelligence and cost.
Claude 3 Opus exhibits near-human comprehension and fluency in complex tasks.
All models show improved analysis, forecasting, content creation, and multilingual communication.
New vision capabilities allow processing of various visual formats, aiding enterprise customers.
Claude 3 models can perform complex multimodal analyses and utilize sub-agents for parallel task execution.
The models offer near-instant response times, with Claude 3 Haiku being the fastest and most cost-effective.
Claude 3 models are less likely to refuse prompts and show improved accuracy and recall capabilities.
Potential applications include task automation, interactive coding, research, strategy, data processing, customer interactions, and more.
Claude 3’s advanced features and performance set a new standard in AI, indicating rapid progress in the field.
But Claude 3 isn’t just about words. It has a unique ability to work with images, too. This means it can understand and create content that includes pictures, which is a step forward for AI and opens up new possibilities for different industries. When it first came out, Claude 3 could handle a huge amount of information at once, and there are plans to increase this capacity even more. This is exciting because it means Claude 3 could become even more versatile and useful in the future.
Claude 3 vs ChatGPT vs Gemini
Here are some other articles you may find of interest on the subject of Anthropic AI models :
Claude 3
Claude 3 has been hailed as a significant advancement over its predecessors and competitors, with notable strengths in optical character recognition (OCR), nuanced understanding of complex queries, and improved performance in benchmarks. For example, it accurately recognized license plate numbers and a barber pole in an image, indicating superior vision capabilities and context understanding. Despite this, Claude 3, like its competitors, showed limitations in detecting subtle details such as weather conditions in an image. Claude 3’s benchmarks suggest it outperforms Gemini and ChatGPT in many areas, particularly in coding and OCR tasks.
ChatGPT (GP-4) offers robust conversational capabilities and a broad knowledge base. While it may not excel in OCR tasks as Claude 3 does, it remains a versatile tool for a wide range of text-based applications, including writing, summarization, and question-answering. ChatGPT’s conversational nature makes it highly adaptable and user-friendly, though it sometimes lags in specific technical benchmarks compared to the latest Claude 3.
Gemini 1.0 Ultra and the unreleased Gemini 1.5 show strong performance in vision tasks and general AI capabilities. However, the introduction of Claude 3 has put Gemini’s capabilities into perspective, particularly in areas like OCR and context-specific queries. While Gemini 1.5 Pro shows improvements over its predecessor, it still faces challenges in competing with Claude 3’s advanced reasoning and OCR capabilities.
Coding Performance
When it comes to doing tasks, Claude 3 is impressive. In coding, it’s not just accurate; it also has style. It can understand and execute detailed programming tasks, which is a huge help for developers. In writing, whether it’s technical documents or creative stories, Claude 3 can produce high-quality content with ease.
Specialization Areas
Claude 3 demonstrates significant advancements in handling complex queries and specialized tasks such as OCR and reasoning with images. It comes in three models—Haiku, Sonnet, and Opus—each tailored to different levels of complexity and use cases. This stratification allows users to choose the most appropriate model for their specific needs, from simple queries to complex analysis.
ChatGPT excels in creating conversational AI that can engage in detailed discussions, answer a wide range of questions, and generate human-like text. Its strength lies in its adaptability across various domains, though it may not match Claude 3’s capabilities in vision-related tasks or the specific benchmarks where Claude 3 leads.
Gemini has been a strong contender in blending textual and visual information processing. While it continues to perform well in vision tasks, the emergence of Claude 3 has highlighted areas for improvement, especially in tasks that require a deeper contextual understanding and precision.
Request Performance
Another point where Claude 3 shines is in its confidence. It has lower refusal rates, which means it says it can’t accomplish certain tasks less often than other models. This shows that it’s more capable of handling a variety of requests. While all this sounds promising, there’s more to come. Experts are planning to do a detailed comparison between Claude 3, GPT-4, and Gemini Ultra. This will give us a clearer picture of how each model performs in different situations, helping you decide which one would be the best fit for your needs.
Cost and Accessibility
Claude 3‘s pricing model is designed to cater to both casual users and enterprises, with its premium Opus model requiring a subscription. This approach allows users to scale their usage according to their needs, although the higher cost for Opus reflects its advanced capabilities.
ChatGPT and Gemini both offer tiered pricing models to accommodate different levels of usage and capabilities. The cost structure of these models typically varies based on API usage, with specific pricing strategies aimed at making these tools accessible while offering scalable solutions for developers and businesses.
Ethical Considerations and Limitations
Each model incorporates ethical considerations and limitations to prevent misuse. Claude 3, for example, has been noted for its low false refusal rates and sensitivity to ethical guidelines, even in challenging scenarios. However, all models, including Claude 3, face challenges in completely eliminating bias and ensuring equitable treatment across diverse queries.
Claude 3 Benchmarks
If you’re interested in learning more about the performance you can expect from the three AI models that make up the Claude 3 family. Check out our previous article which explores the arrival of the new flagship AI and Claude 3 benchmarks released by Anthropic.
As you consider integrating AI language models into your work, keep an eye on Claude 3. It’s already setting new standards and its future developments are expected to further influence how we interact with machines and develop software. Whether you’re a developer, a business owner, or just someone fascinated by AI, Claude 3 is a model to watch. To learn more about the latest AI models released by Anthropic in the form of Claude 3 jump over to the official press release for more details.
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Anthropic has announced a new family of AI models named Claude3, consisting of three different-sized models: Haiku, Sonnet, and Opus. These models are vision language models (VLMs), capable of processing both text and images. The Opus model has shown to outperform OpenAI’s GPT-4 in various benchmarks, including zero-shot performance in tasks like grade school math and multilingual math problem-solving. The models also boast improved speed, with Sonnet being twice as fast as Claude II and Haiku being the fastest.
Additionally, the models have a reduced rate of refusal to answer questions, a feature that distinguishes them from other large language models. Anthropic has also increased the context window size, with the capability to handle up to a million tokens, although this feature is not yet available via API. The models are available on Anthropic’s API, with Sonnet and Opus already accessible and Haiku to be released soon. The pricing for using these models varies, with Opus being the most expensive and Haiku potentially offering a cost-effective solution with capabilities close to GPT-4.
Claude3’s standout feature is its ability to handle multimodal tasks. This means that unlike older models that could only work with text or images, Claude3 models can manage both. This versatility opens doors to a range of applications, from enhancing search engines to creating more advanced chatbots. Opus, the most powerful of the three, has demonstrated impressive abilities, outperforming GPT-4 in tasks that it hasn’t been specifically trained for, such as basic math and solving problems in different languages.
When it comes to speed, the Claude3 models are ahead of the game. Sonnet processes information twice as fast as its predecessor, Claude II, and Haiku is even quicker, delivering rapid responses without compromising the quality of the output. These models are also more responsive, meaning they are less likely to refuse to answer a query, which is a significant step forward compared to other large language models.
Claude 3 AI models Compared
Another advantage of the Claude3 models is their expanded context window, which can handle up to a million tokens. This is especially useful for complex tasks that require a deep understanding of long conversations or documents. While this feature isn’t available through an API yet, it shows that Anthropic is preparing to support more complex AI applications in the future.
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For developers and companies looking to integrate AI into their services, API access is crucial. Anthropic has made Sonnet and Opus available through its API and plans to add Haiku soon. The pricing is structured in tiers, reflecting the different capabilities of each model. Opus is the most expensive, while Haiku will be a more cost-effective option that still offers competitive performance. Integrating the Claude3 models into existing platforms is made easy. They are designed to work with various ecosystems, such as Amazon Bedrock and Google’s Vertex AI, which means they can be adopted across different industries without much hassle.
As you consider the AI tools available for your projects, Anthropic’s Claude3 AI models are worth your attention. Their ability to work with both text and images, their fast processing speeds, and their improved responsiveness make them strong competitors to GPT-4. The potential for a larger context window and the upcoming API access add to their appeal. As you evaluate your options, think about the costs and how easily these models can be integrated into your work, and keep an eye out for Haiku, which could provide a balance of affordability and performance for your AI-driven initiatives.
The Claude 3 AI models introduced by Anthropic represent a significant advancement in the realm of AI, particularly in the vision-language model (VLM) domain. These models, named Haiku, Sonnet, and Opus, vary in size and capabilities, each designed to fulfill different computational and application requirements. Here’s a detailed comparison summary based on various aspects, leading to a conclusion that encapsulates their collective impact and individual strengths.
Claude 3 Opus
Stands out as the most advanced model, designed for executing highly complex tasks. It excels in navigating open-ended prompts and unexplored scenarios with a level of fluency and comprehension that pushes the boundaries of current AI capabilities. Opus is distinct in its higher intelligence, making it suitable for intricate task automation, research and development, and strategic analysis.
Cost: $15 per million input tokens | $75 per million output tokens
Context Window: Up to 200k tokens, with a 1M token capability for specific use cases upon request
Differentiator: Unparalleled intelligence in the AI market
Claude 3 Sonnet
Achieves a balance between speed and intelligence, making it ideal for enterprise environments. It provides robust performance at a lower cost, engineered for endurance in extensive AI operations. Sonnet is tailored for data processing, sales enhancements, and efficiency in time-saving tasks, offering a cost-effective solution for scaling.
Cost: $3 per million input tokens | $15 per million output tokens
Context Window: 200k tokens
Primary Uses: Data processing, sales optimization, code generation
Differentiator: Offers a sweet spot of affordability and intelligence for enterprise workloads
Claude 3 Haiku
Designed for rapid response, handling simple queries and requests with unparalleled speed. This model is aimed at creating seamless AI interactions that closely mimic human responses, ideal for customer interactions, content moderation, and cost-saving operations, embodying efficiency and affordability.
Cost: $0.25 per million input tokens | $1.25 per million output tokens
Differentiator: Exceptional speed and affordability for its intelligence level
Enhanced Capabilities Across Models
All three models exhibit advanced capabilities in adhering to complex, mthisulti-step instructions and developing customer-facing experiences with trust. They excel in producing structured outputs like JSON, simplifying tasks such as natural language classification and sentiment analysis. This functionality enhances their utility across a broad spectrum of applications, from customer service automation to deep research and analysis.
Model Availability and Access
Opus and Sonnet are immediately available for use through Anthropic’s API, facilitating quick integration and usage by developers.
Haiku is announced to be available soon, promising to extend the Claude 3 model family’s capabilities to even more applications.
Sonnet powers the free experience on claude.ai, with Opus available for Claude Pro subscribers, and forthcoming availability on Amazon Bedrock and Google Cloud’s Vertex AI Model Garden.
The Claude 3 AI models by Anthropic represent a formidable advance in AI technology, each tailored to specific needs from high-end complex problem-solving with Opus, balanced intelligence and speed with Sonnet, to rapid response capabilities with Haiku. The detailed cost structure and potential uses provide a clear guide for businesses and developers to choose the appropriate model based on their specific needs, budget constraints, and desired outcomes, marking a significant leap towards more personalized, efficient, and intelligent AI-driven solutions.
Each model has its distinct place within the AI ecosystem, catering to different needs and applications. The choice between them would depend on specific requirements such as computational resources, performance needs, and cost considerations. Collectively, they signify a significant leap forward in making advanced AI more accessible and applicable across a broader spectrum of uses. To learn more about each jump over to the official Anthropic website for details.
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Perplexity has been specifically designed to provide users with an artificial intelligence (AI) capable of searching the web and providing detailed answers to questions and more. But how does Perplexity vs Google AI search results compare? If you are interested in learning more this quick overview guide will provide more insight into how you can use the Perplexity AI search tool to enhance your business research, personal knowledge searches and more.
Perplexity AI can be used as a search tool to enhances business efficiency by providing tailored, up-to-date information. It is designed to streamline research and keep users informed about industry trends. The AI tool offers plenty of customization options, allowing users to personalize search results to fit their business needs.
Search results comparison
Perplexity AI’s features include a focus option for targeted searches, a co-pilot feature for refining queries, and collections for organizing searches with customizable prompts. It is positioned as complementary to ChatGPT, with each serving different purposes. Perplexity AI focuses on search and research designed to give you the edge by delivering the latest, most relevant information tailored to your needs, while chatbot such as OpenAI’s ChatGPT is more task-oriented text generators.
At the heart of Perplexity AI is its ability to be customized. This means you can tweak the search results to fit exactly what your business is looking for. This customization ensures that the insights you receive are not just relevant, but also ready to be put into action. There’s a feature called ‘focus’ that’s particularly handy. It lets you zero in on targeted searches, so you can quickly find the data that matters most to your business.
The search experience is further enhanced by a feature known as the ‘co-pilot.’ It’s like having a guide by your side, helping to refine your searches and suggesting additional questions to explore. This makes your search journey smoother and more intuitive. Plus, there’s a ‘collections’ feature that allows you to organize your search results with customizable prompts, keeping everything well-structured and easy to navigate.
Perplexity vs Google
Perplexity AI stands out from Google with its approach to search results. Google provides a broad spectrum of information, but Perplexity AI is more focused, delivering specific, business-oriented data. This focus is a significant advantage for professionals who need precise information quickly.
Accuracy:
Perplexity AI aims to provide accurate and detailed responses, leveraging AI capabilities to offer insightful search results.
When tested with identical queries, Perplexity AI demonstrated the ability to provide more focused and tailored results compared to Google, enhancing accuracy for professionals in academia and research.
Speed:
Perplexity AI is designed for efficient information retrieval, utilizing advanced algorithms to ensure swift access to relevant data while maintaining precision.
Google Search, with its massive infrastructure and refined algorithms, has been a go-to tool for quick access to a comprehensive index of web pages.
User Experience:
Perplexity AI offers a conversational AI approach, engaging users in interactive dialogues and providing summaries of information rather than just links, enhancing the search experience, especially for academic searches.
Google Search presents users with a list of links based on search queries, requiring users to navigate through multiple results to find relevant information.
Contextual Understanding:
Perplexity AI’s interactive dialogue allows users to ask follow-up questions and refine searches on the fly, enhancing contextual understanding of the information being sought.
Google Search relies on traditional search methodologies, offering a vast index of links based on keywords without the conversational aspect provided by Perplexity AI.
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Perplexity is different to ChatGPT
Then there’s ChatGPT, another AI tool known for its versatility. It can handle a variety of tasks, from writing emails to generating content. While Perplexity AI is specialized for search and research, ChatGPT is more of a general assistant and text generator, capable of performing a wide range of tasks. Each tool has its own strengths, and the best choice for you will depend on what your business needs most.
It’s important to note that Perplexity AI isn’t perfect. One current limitation is its inability to integrate with automation tools like Zapier. This could be a hurdle for businesses that rely heavily on automation in their workflows. But as the field of AI continues to grow, we can expect to see solutions to these kinds of challenges, which will only enhance the value of Perplexity AI.
Perplexity AI is a strong new option for businesses that want to improve their research capabilities and maintain a competitive stance. While it may have some limitations now, particularly with automation integration, its specialized focus and user-friendly features like the co-pilot and collections make it a noteworthy choice. If you’re looking to step up your business’s research game, Perplexity AI is definitely worth a look.
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Following on from the recent unveiling of Stable Diffusion three by the development team at Stability AI Samson at Delightful Design has put together an interesting comparison comparing the prompt results of Stable Diffusion 3 vs Midjourney 6 vs DallE 3. In the rapidly evolving world of digital art, artificial intelligence (AI) is playing an increasingly significant role. AI art generators like Stable Diffusion 3, Midjourney 6, and DallE 3 are reshaping how we think about and create visual content. Stable Diffusion 3 in currently in early preview, and is Stability AI’s most capable text-to-image model to date with greatly improved performance in multi-subject prompts, image quality, and spelling abilities.
These AI tools are not just for tech enthusiasts; they’re for anyone interested in exploring the boundaries of creativity. They take simple text prompts and turn them into complex images that can be startlingly beautiful or intriguingly abstract. But with several options available, it can be challenging to decide which one to use for your next project. The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters combining a diffusion transformer architecture and flow matching. If you’d like to sign up to be put on the wait list to try out the latest Stable Diffusion 3 AI art generator jump over to the Stability AI website to register your details.
Stable Diffusion 3 is a standout for producing high-resolution images that are clear and detailed. It’s particularly adept at understanding and executing complex prompts, making it a strong choice for projects that require a high degree of specificity. This AI art generator is also known for its ability to accurately incorporate text into images, which is essential for designs where words are a central element.
Comparatively, Midjourney 6 offers a unique aesthetic that may appeal to those looking for a distinctive style. It has its own way of interpreting prompts, which can result in art that has a particular charm or character. DallE 3, on the other hand, is celebrated for its ability to replicate styles with high fidelity. If you’re looking to mimic a certain artistic style, DallE 3 might be the AI art generator you need.
Stable Diffusion 3 vs Midjourney 6 vs DallE 3
As we look to the future, Stable Diffusion 3 is set to introduce new features that will allow for even more creative control. The ability to edit parts of an image (in-painting) and create animations (video features) are on the horizon. Additionally, the potential for open-source collaboration means that a community of users could contribute to its development, leading to a tool that’s constantly improving and expanding its capabilities.
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However, it’s important to keep in mind that these AI art generators require significant computing power. To get the most out of them, you’ll need a robust setup. This is a key consideration when choosing which AI art generator to work with, as not everyone has access to high-end computing resources.
When evaluating these AI art generators, it’s essential to consider how well they can produce realistic images, maintain a consistent style, and meet the aesthetic standards of your project. Each generator has its own way of handling these aspects, which means the results can vary widely. It’s important to test them out and see which one aligns best with the goals of your project.
For those eager to explore the capabilities of Stable Diffusion 3, there’s an early access waitlist. This provides a chance to experience its features firsthand and see how they stack up against Midjourney 6 vs DallE 3.
The field of AI art generation is advancing quickly, with Stable Diffusion 3, Midjourney 6, and DallE 3 leading the way. They each have their strengths, whether it’s in the clarity of the images they produce, their adherence to prompts, or their ability to integrate text into visuals. As these tools continue to develop, we can anticipate even more sophisticated and imaginative creations. Ultimately, the choice of which AI art generator to use will come down to your personal artistic vision and what you need for your creative work. To learn more about the new Stable Diffusion AI art generator released by Stability AI jump over to the official website.
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If you are interested in learning more about the capabilities of four of the main AI tools that can be used to right AI content for your business, book or website. This comparison guide provides more insight by comparing Perplexity AI vs Agility Writer vs Gemini vs SEOWriting. In the current dynamic realm of digital content creation, artificial intelligence (AI) writing tools have become crucial for writers who aim to boost their productivity and the caliber of their work.
These advanced programs offer a range of functionalities that can significantly aid content creators in crafting compelling and engaging articles. Among the plethora of options available, a few AI writing tools stand out for their exceptional capabilities and have become the focus of attention for those seeking to elevate their writing process.
At the forefront of these tools is Perplexity with GPT-4 Turbo, known for its advanced language generation that closely mimics the subtlety and rhythm of human writing. This feature is particularly appealing to creators who prioritize text that reads naturally. Despite its impressive linguistic prowess, it’s worth noting that there are concerns about its search engine optimization (SEO) features and its ability to stick to specific word counts, which are crucial for meeting certain content creation goals.
Another contender in the AI content writer space is Gemini Pro Advanced, which offers a wide array of features suitable for a variety of writing tasks, ranging from casual blog posts to detailed technical articles. The tool’s capacity to maintain accuracy and tailor its readability to different audiences is something that merits further examination, especially for those who need to address a specific demographic.
Perplexity AI vs Agility Writer vs Gemini vs SEOWriting
For content creators whose primary focus is on SEO and producing high-quality content that ranks well on search engines, SEOWriting is a specialized tool that promises to deliver. It’s essential to evaluate how effectively it integrates keywords without compromising the natural flow of the text and whether it can achieve the desired SEO results.
Agility Writer, on the other hand, emphasizes the quality of content, ensuring that each sentence is meaningful and impactful rather than simply contributing to a word count. When considering Agility Writer, it’s important to look at how well it avoids detection as AI-generated content, which is a significant factor for maintaining the authenticity of the writing.
When leveraging AI to generate articles, it’s critical to prioritize quality and factual accuracy. The content produced should not only engage readers but also provide them with reliable information. A seamless content creation workflow involves choosing the right tool, setting clear criteria, and refining the output to meet high standards. A common shortfall among these AI writing tools is the absence of a dedicated feature for understanding search intent, which is vital for creating content that resonates with the audience’s specific needs and interests, thereby enhancing relevance and engagement.
Selecting the right AI writing tool is a decision that depends on individual needs and budgetary considerations. While some tools excel in SEO and precise word count adherence, others may offer superior readability or overall content quality. The challenge lies in finding a balance and choosing a tool that aligns with your content creation goals.
Understanding AI Writing Tools and Their Capabilities
As you navigate the decision-making process between options like Perplexity with GPT-4 Turbo, Gemini Pro Advanced, SEOWriting, and Agility Writer, it’s crucial to consider the strengths and weaknesses of each tool in relation to your unique requirements. By focusing on quality, accuracy, and a deep understanding of workflow and audience needs, you can select an AI writing tool that not only meets your demands but also fits within your financial means. For those looking to explore further, these 25 free AI tools might offer additional insights into the vast potential of AI and help you improve your productivity.
In the world of digital content creation, artificial intelligence (AI) writing tools are revolutionizing the way writers produce content. These tools are designed to assist with various aspects of writing, from generating ideas to refining grammar and style. AI writing tools use complex algorithms to analyze text and learn from a vast database of language examples. This enables them to suggest improvements, predict text, and even create content from scratch that can be surprisingly human-like in its tone and coherence.
One of the most advanced tools in this space is Perplexity AI that utilizes a sophisticated AI model to generate text that closely resembles human writing. Recently acquiring a large round of funding the development of Perplexity can be expected to increase in the coming months and years. This tool is particularly useful for writers who need their content to have a natural flow and readability. However, it’s important to consider how well such a tool can handle specific requirements like SEO optimization and adherence to word counts, which are critical for many writing projects.
Specialized AI Writing Tools for SEO and Authenticity
Gemini Pro Advanced offers a broad spectrum of features designed to cater to a wide range of writing styles and purposes, from informal blog posts to complex technical documents. The ability of Gemini Pro Advanced to adjust its output for different target audiences is a significant advantage for content creators who need to communicate effectively with diverse groups.
For those who specialize in SEO-focused writing, tools like SEOWriting are engineered to enhance content visibility on search engines. The effectiveness of such tools lies in their ability to weave keywords into the text in a way that maintains the natural flow of the article. This balance is crucial for producing content that is both SEO-friendly and reader-friendly.
Agility Writer, in contrast, prioritizes the quality and impact of each sentence. This tool is designed to ensure that the content is meaningful and engaging, rather than just filling space. A key consideration for using Agility Writer is its capability to produce content that is indistinguishable from human-written text, which is important for preserving the authenticity of the content and avoiding potential penalties from search engines that may penalize AI-generated content.
Choosing the Right AI Writer for Your Needs
When it comes to selecting an AI content writer, it’s essential to consider your specific content creation goals. Each tool has its own set of strengths and may be better suited for certain tasks than others. For instance, if SEO is a priority, a tool that specializes in keyword integration and search intent understanding would be more beneficial. On the other hand, if the quality of prose is paramount, a tool that excels in producing natural, human-like text would be preferable.
The decision also hinges on the writer’s workflow and the audience they are targeting. A tool that offers a seamless integration into the writer’s process and understands the audience’s needs will likely result in more effective and engaging content. Additionally, budgetary constraints play a role in the decision-making process, as the cost of AI writing tools can vary significantly.
In conclusion, AI writing tools offer a range of functionalities that can greatly enhance the writing process. By carefully evaluating each tool’s capabilities and how they align with your writing needs and goals, you can choose an AI assistant that not only improves your productivity but also elevates the quality of your content. Whether you’re looking for a tool that excels in SEO, readability, or overall content quality, there is an AI writing tool out there that can meet your requirements and help you achieve your content creation objectives.
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