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World's first benchmark for real-world visuals with 7M+ creators and counting. Made by @intelligence_ai
Joined June 2025
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Design Arena is excited to introduce the company behind our work: Intelligence.
Over the past year, millions of people have helped us evaluate how well AI models perform on real-world creative tasks - where quality is subjective, outcomes are difficult to verify, and human judgment matters.
Design Arena is only the beginning. Let us know what you want to see next!
Today, we're introducing @Intelligence_ai.
In 6 months, as a team of 10, we scaled from $5M to $60M ARR and 5.5M users across 190+ countries.
We raised a $7.9M seed, led by @IndexVentures with participation from @conviction, @A_StarVC, and @combinator to build DesignArena, a universal interface for accessing and evaluating the world's AI capabilities.
Most evaluations try to simulate the real-world. We believe the real-world is the ultimate verifier.
People come to @DesignArena with a request. Models compete to fulfill the request, and users determine what works best for them.
Their live user behavior evaluates the models, improves how work is routed, and helps people access the right intelligence.
We've helped the world's leading frontier labs break the news on their SOTA capabilities.
What's the limit? Join us and find out.
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 resultsFibo 2.0 by @bria_ai_ is now available on Design Arena!
Bria’s new 8B-parameter open weights image model delivers strong performance across text-to-image generation and image editing. It brings major improvements in text rendering, layout, and precise text edits, with API pricing starting at $32 per 1,000 images.
Congrats to the @bria_ai_ team on the launch!
Fibo 2.0 is live: the #1 open-weights image editing model on @ArtificialAnlys.
Ahead of 33 closed models from leading labs, and trained only on licensed data.
Try it in Bria Create: eu1.hubs.ly/H0zf99b0