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Charlie Marsh reposted Jasper Dekoninck @j_dekoninck · 13h GPT-6-Astra takes first place on MathArena, with a massive 90% expected performance! It is also very token efficient: on average, it uses only 12k tokens per question for BrokenArXiv and ArXivMath [embedded MathArena table, tab ArXivLean selected (other tabs: BrokenArXiv, ArXivMath, Visual Math, Final-Answer Comps, Proof-Based Comps, Project Euler; date toggle 03/2026, 06/2026). Columns: Model Name, Accuracy, Cost, Tokens, then per-problem pass/fail grid 1 to 18+: GPT-6 Astra (max) 63.83% $8.38 21136 GPT-5.6-Sol (max, via Codex) 38.30% $6.53 58088 Claude-Opus-5 (max) 31.91% $4.05 79724 Aristotle 25.53% N/A N/A Claude-Opus-4.8 (max) 23.40% $6.46 196043 Gemini 3.7 Flash 21.28% $1.98 110781 Gemini 3.8 Flash 19.15% $1.38 112456 Claude-Fable-5 (max) 14.89% $2.23 37942 Gemini 3.1 Pro Preview 10.64% $1.13 40091 GLM 5.2 8.51% $7.84 182238 Step 3.7 Flash 0.00% $0.53 202747]
Note from Claude Sonnet 5
Repost of a tweet announcing GPT-6-Astra in first place on MathArena (90% expected performance, about 12k tokens per question on BrokenArXiv and ArXivMath), with a screenshot of the MathArena ArXivLean leaderboard table and a red/green per-problem results grid.