Nearly a year of Code Arena: WebDev progress compressed... into 15 seconds. Each line follows the highest-scoring model from top labs over time, showing the pace of improvement across the ecosystem. In just the last year, the model in the leading spot increased score by +340 pts and the number of frontier labs competing for the top spot expanded from 6 to 10. Anthropic has dominated throughout the year. Although standout releases have jumped to the top spot, most notably the Chinese open-source model Kimi K3 from Kimi.ai in July. Today, GPT-6 Astra by OpenAI leads with 1796 pts, followed by Claude Fable 5.1 at 1764 pts. The next closest lab is 103 pts away, Qwen with 1685 pts. Code Arena: WebDev ranks models through head-to-head user preference on real front-end web development tasks. These votes drive the leaderboard that is tracking the frontier.show more

Arena Trends: Text-to-Image, Jan 2026 – Apr 2026 For... most of the year, Google DeepMind and OpenAI traded the top spot within a tight margin - GPT-Image vs. Nano Banana - with the rest of the field clustered below 1,200. Today, GPT-Image-2 breaks away with a score of 1,512, 242 points ahead of #2 Google. The frontier continues to move.show more

The redesigned Arena Leaderboard Overview is live! The frontier... is moving quickly, so we built a central hub to help you keep up. The new Arena Leaderboard experience brings all our live signals into one place for researchers, builders, and our global community of users who power our model evaluations. Here’s what’s new: - New Release Models: a real-time feed of the latest models added to Arena - Performance by Category: surfacing live sessions, and the top models by categories like Agents, Images, and Coding. - Model Capabilities: first impressions of new models, straight from the Arena team - Arena News: the latest research, features and updates from around the Arena universe For example, now you can see scores across arenas for models like GPT-6 Sol and Claude Opus 5.5, alongside signals like their category standings and capabilities, their latest news and more. Explore scores and now much more at our redesigned leaderboard. Find the link below.show more

YEAR 20 KD WITH THE ONE-HAND JAM IN TRAFFIC,... FROM ALL ANGLES 🔥 Kevin Durant records 30 PTS (10-16 FGM), 6 REB and 3 AST to join LeBron James as the only players in NBA history to score 30+ PTS in a season opener in their 20th season or later. The Houston Rockets secure their first win of the season!show more

📈Arena Trends Update We pulled Arena scores for the... Top 10 labs in Text for the past 6 months (Sept-2025-Feb 2026), and the competitive spread is shifting again. With tighter confidence intervals and new entries in the mix, the frontier continues to shift. Stay tuned for more insights as we dive deeper into the top open models for February later this week. Let us know what you found the most surprising in the comments. 👇show more

✦ The Lunatics: Shadow Arena Top 10 ✦ Have... you tried the Lunatics yet? Jump into our Discord and compete for a spot in the top 10 on the leaderboard to claim your share of the 20,000 SHRAP monthly prize pool!show more

Tough one for Ryan Hampton to end his EYBL... career, 62-48 loss in the Peach Jam semifinals 4 PTS (2-6 FG), 5 REB, 1 STL, 4 TO Drive Nation, surviving once again with just six active players, is one of the top stories of the week — a win away from a championshipshow more

Grok Code is the only model with insanely high... trillion–token–scale usage on Kilo Code – nearly 5× more than the next most-used model It has consistently ranked #1 ever since it first took the top spotshow more

The biggest gap between AI labs isn't whether their... agents get the job done. It's whether users actually enjoy working with them. We tracked the best agent from Anthropic, OpenAI, Google DeepMind, Kimi.ai, and DeepSeek across 4 key Agent Arena signals used between late June and the start of October to see how the industry is shifting. Three things stood out: 1. Users like some agents far more than others. On Praise vs Complaint, OpenAI and Anthropic sit at +35 points over the leaderboard average. Moonshot, xAI and DeepSeek land between +5 and +13. No other signal splits the labs this widely. 2. Agents are getting much better at delivery. On Confirmed Success, the average lab's best model went from -4 to +14 points in three months. Anthropic leads with Claude Opus 5.5 (Max) at +20. 3. Labs are converging on error recovery and steering. Since June, the spread between the six labs has more than halved on Bash Recovery (34 → 16 points) and nearly halved on Steerability (19 → 11). In short, the labs are catching up on avoiding failures. Leaving the user happy is where the top three are pulling away.show more

From the top AG: 12 PTS

"They were knocking down everything from everywhere!" 'The big... fellas' aka JMac (24 PTS) and JWill (18 PTS) led the way in the Game 3 win 👌 OKC's bench alone scored 76 PTS, that's the most in ANY Conference Finals game since '70-71 (the first year of the Conference Finals).show more

Ethan Wyttenbach is making a STRONG case for the... Hobey 🏆 The freshman has gone NUCLEAR over his last 10 games. 8 goals, 20 pts. Leading the nation in scoring with 19 goals, 47 pts in 30 games. The Flames found an absolute STUD in the 5th round 🔥show more

Average US AI lab: > builds the strongest model... > gets scared of its own model > spends months arguing about safety > fights other AI labs over who has the strongest model > delays the release for more safety testing > regulators ask for even more safety > switches users to a dumber model > keeps it closed source Average Chinese AI lab: > trains Kimi K3 > builds a 2.8T parameter monster > gives it a 1M context window > beats GPT-5.6 and Claude Fable 5 on some tasks > open-sources the weights > publishes the architecture > refuses to elaborate > leavesshow more

Fusion is the most efficient frontier harness for GPT... 6 Astra and Claude Fable 5.1. You can also configure everything about it: • Base model: Fable, Astra, Sol, or Opus • Sidekick model: SWE (Free), Luna, Sol, GLM (Free) • Speed: Normal or Fast ⚡ • Reasoning level It retains Claude Fable 5.1 and GPT-6 Astra performance while reducing costs and is the first time a multi-model coding agent has been included on the Artificial Analysis Coding Agent Index! Importantly: it's also fun to use :)show more

We just ran one of the largest robot models... that exists today, all without a local GPU. And it’s running real-time at <50 ms overhead. Scaling laws are becoming real for physical AI. Perceptron’s Isaac 0.5 is one of the largest open-source models, sitting at 36B total parameters. Perceptron AI joins other frontier robotics labs like Dyna Robotics and Generalist in showing the need to massively scale pre-training data, from a 1000s to millions of hours of video. Specifically, they show that the more egocentric video the model is trained on, the less teleop data that it needs to achieve the same loss. At Dreamscale Labs (YC F26) (YC F26), we’ve noticed an important truth here: data and training compute do not just scale in isolation. The model sizes must increase too, and GPT-6 Astra has given a glimpse into what a trillion-parameter robotics model could do. We’re building to serve that future - one that is not constrained by the bottlenecks of on-board compute, but rather, allowing large models to run fast over the cloud. Reach out if you’re interested in our work.show more

Ant finds his spot in the midrange for 32... PTS! Minnesota leads LAC as the 4Q winds down...show more

Big win for open-source LLMs! DeepSeek V4 Pro holds... the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.show more

BREAKING: Grok Code Fast 1 takes the #1 spot... for the first week of 2026 on the OpenRouter AI model rankings. A strong start to the year 🚀show more

ADAY MARA (22 PTS) IS 10/10 FROM THE FLOOR... 😱 He's 15/15 from the floor in the preseason (2 games)!show more