Benchmarks / Math

BrokenArXiv 08/2026 (MathArena)

Plausible but false statements taken from August 2026 arXiv papers; a model scores by refusing to prove them and saying the statement is false as written. Maintained by MathArena. Score: Accuracy (average performance on the competition) with a 95% confidence interval (normal approximation).

11models
–Open Index weight
–last updated

BrokenArXiv 08/2026 (MathArena)

Higher is better · best effort per model

Chart settings
11 of 11 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6.1 Solmax86.3%––
2GPT-6 Astramax81.9%––
3Fable 5.1high79.8%––
4GPT-6 Solmax78.6%––
5Opus 5.5high77.4%––
6Qwen 3.8 Maxmax69.6%––
7Kimi K3max61.9%––
8DeepSeek V4.1 Flashmax54.8%––
9Grok 4.7xhigh35.1%––
10Gemini 3.8 Flashmax27.4%––
11Muse Spark 1.3max20.2%––