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Arena CEO @ml_angelopoulos breaks down why Gemini 4 Argon looks #1 until you change who’s judging it, dropping to #7 with experts and #10 on agents: "The Argon model is a great example of how static benchmarks are really failing to assess the actual real-world performance of models." "The big headline is that it's number one on text. But when you subset to experts, the model drops quite significantly. It goes from rank #1 to number #7." "If you go to agentic tasks, the model is number #10.…
lmarena.ai@arena2d ago
Big news: Gemini 4 Argon (High) by @GoogleDeepMind just landed #1 in Text Arena with 1525 pts, and #8 in Code Arena: WebDev with 1679 pts! This release has reshaped the Text Arena Pareto frontier with a blended $8/MToken! Gemini 4 Argon (High) is now the most cost efficient model, see its placement on Pareto frontier below. In the Text Arena, Gemini 4 Argon (High) ranks #1 in Coding, Hard Prompts, Instruction Following, Longer Query, and Creative Writing. It also leads every occupational domain evaluated, with additional #1 spots in English, Non-English, Chinese, and Russian. This model is +20 points above the #2 ranked Claude Opus 4.6 (High), and a huge leap from Google’s previous release, Gemini 3.8 Flash (High) at #11! In Code Arena: WebDev, Gemini 4 Argon (High) gained +96 points from Gemini 3.8 Flash (High), and went from #29 to #8. Congrats to the @GoogleDeepMind team on this impressive frontier release!
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