World's first benchmark for real-world visuals with 7M+ creators and counting. Made by @intelligence_ai
Joined June 2025
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DesignArena retweeted
Canva’s first-ever image model has debuted at #4 on @DesignArena
This makes @canva the #2 AI image lab in the world, behind only @OpenAI
An incredible achievement from a very hardworking and talented team pushing the boundaries of what design companies accomplish in frontier AI research
Huge congratulations to @MelanieCanva and the rest of the @canva team!
Canva Craft, the first ever image model by @canva, takes the #4 spot on DesignArena's Image leaderboard. This makes Canva the #2 Image Lab after @OpenAI!
Notably, it wins most often on photorealistic product and object shots, setting up studio-style lighting and detailed material textures on a single hero object. It also ranks #1 on the Portrait and Landscape subcategories.
Congrats to the @canva team on the launch!
DesignArena retweeted
Canva Craft debuted as the world's 4th most advanced image generation model on @DesignArena with an Elo score of 1340.
It delivers exceptional visual quality and state-of-the-art text rendering, outperforming some of the world's leading frontier models.
DesignArena retweeted
Introducing Canva Craft 🚀
Extraordinary image generation is now available to everyone, powered by our first frontier model built specifically for design.
With Craft, Canva is now the world's second most advanced AI lab for image generation on @DesignArena's global leaderboard.
See what it can do 👇
Canva Craft, the first ever image model by @canva, takes the #4 spot on DesignArena's Image leaderboard. This makes Canva the #2 Image Lab after @OpenAI!
Notably, it wins most often on photorealistic product and object shots, setting up studio-style lighting and detailed material textures on a single hero object. It also ranks #1 on the Portrait and Landscape subcategories.
Congrats to the @canva team on the launch!
Our paper, AudioAgentBench, was accepted to the @NeurIPSConf 2026 Evaluations & Datasets Track!
We’ve open-sourced a suite of six static, multi-turn benchmarks designed to stress-test speech-to-speech models on realistic customer-facing tasks. Here’s what we built:
5/ Conversation length alone didn’t explain degradation. On a 30-turn grocery task, tool-use accuracy fell 40.5 points between the first and second halves. A 75-turn conference task fell 11.5 points.
We found that how often a task updates shared state matters more than its turn count.
6/ AudioAgentBench builds on Kwindla Kramer’s original 30-turn evaluation at Daily. Huge thanks to the OpenAI Audio team for helping us expand it and its methodology.
- Methodology: audioarena.ai/methodology
- Code: github.com/Design-Arena/audi…
- Data: huggingface.co/datasets/arca…
HeyGen Voice Turbo by @HeyGen is now available on Design Arena!
HeyGen Voice Turbo delivers natural, expressive speech with robust pronunciation across English accents, making it well suited for assistants, entertainment, and conversational applications. It also excels at preserving exact sequences of words and numbers.
Congrats to the @HeyGen team on the launch!
Flint by @Recursive_SI is now available on Design Arena!
Recursive SI's first model, Flint is a fast local coding model built from scratch in under four months using its automated research system, Eureka Machine. Delivering 125+ tokens/sec on a MacBook Pro and 150+ on RTX Spark, Flint offers up to 2× faster inference than comparable models.
Congrats to the @Recursive_SI team on the launch!
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Two models from the same lab released within two months of each other are much more alike (0.58 cosine similarity) than models from different labs released at the same time (0.20). Eight or more months apart, a lab's models are no more alike than models from different labs (−0.24 for both).
Subtract what's in fashion, and Opus 5.5 lands almost opposite Astra (−0.45). What's left is each lab's own handwriting.
Introducing Spreadsheet Arena! Models now go head-to-head building real spreadsheets on Design Arena, and the first leaderboard is live.
The top 3 models are nearly neck and neck: Claude Fable 5.1 by @AnthropicAI (1371), GPT-6 Astra (xhigh) by @OpenAI (1370), and Claude Opus 5.5 by @AnthropicAI (1358).
Then comes a 108-point drop to #4 Claude Sonnet 5.5 (1250). Only 13 points separate the top 3, but there's a clear gap between them and the rest of the field.
Check out the leaderboard at designarena.ai/leaderboard?t…!
With Spreadsheet Arena, you can describe what you need, like a monthly budget tracker, a sales pipeline, or a financial model, and have two models build it side by side. Vote for the one that gets it right and download the one that's right for you!
Try it yourself at designarena.ai!
Two models from the same lab released within two months of each other are much more alike (0.58 cosine similarity) than models from different labs released at the same time (0.20). Eight or more months apart, a lab's models are no more alike than models from different labs (−0.24 for both).
Subtract what's in fashion, and Opus 5.5 lands almost opposite Astra (−0.45). What's left is each lab's own handwriting.
Kling 4.0 by @Kling_ai is now available on Design Arena!
Kling 4.0 brings major improvements in visual realism, creative control, and narrative completeness, alongside enhanced audiovisual quality, multi-keyframe generation, lip-sync, and text generation. Kling 4.0 Flash offers faster generation with reliable quality for frequent video creation.
Congrats to the @Kling_ai team on the launch!
Two models built the same game inspired by the @Tesla Roadster. One of them "broke" physics to make it easier. Can you tell which is which?
A user asked DesignArena for a game about landing a flying car. @Alibaba_Qwen's Qwen 3.8 and @OpenAI's GPT-6.1 Sol each built one.
In the other, the car keeps tumbling, so you have to time the burn for when the wheels swing back under you.
Its rings also sit on the car's actual flight path. With no input at all, it flies through all three.
Try beating both yourself at designarena.ai/judge/flying-…. Can you tell which is which?
65%Model A is Qwen 3.8
35%Model A is GPT-6.1 Sol
34 votes • Final results