The premier US mathematical olympiad competition, featuring proof-based problems that require deep mathematical insight and rigorous argumentation at the highest competition level.
As of July 7, 2026, Claude Fable 5 leads the USAMO 2026 leaderboard with 97.6% , followed by Claude Mythos 5 (97.6%) and Claude Opus 4.8 (96.7%).
Claude Fable 5
Anthropic
Claude Mythos 5
Anthropic
Claude Opus 4.8
Anthropic
According to BenchLM.ai, Claude Fable 5 leads the USAMO 2026 benchmark with a score of 97.6%, followed by Claude Mythos 5 (97.6%) and Claude Opus 4.8 (96.7%). The top models are clustered within 0.9 points, suggesting this benchmark is nearing saturation for frontier models.
4 models have been evaluated on USAMO 2026. The benchmark falls in the Math category. This category carries a 5% weight in BenchLM.ai's overall scoring system. Within that category, USAMO 2026 contributes 10% of the category score, so strong performance here directly affects a model's overall ranking.
Year
2026
Tasks
6 proof-based problems
Format
Mathematical proof construction
Difficulty
International olympiad level
USAMO represents the highest tier of US math competitions, serving as the selection exam for the International Mathematical Olympiad team. Problems require full proofs rather than just numerical answers. Mythos Preview scored 97.6%, GPT-5.4 scored 95.2%, Gemini 3.1 Pro scored 74.4%.
Version
USAMO 2026 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
The premier US mathematical olympiad competition, featuring proof-based problems that require deep mathematical insight and rigorous argumentation at the highest competition level.
Claude Fable 5 by Anthropic currently leads with a score of 97.6% on USAMO 2026.
4 AI models have been evaluated on USAMO 2026 on BenchLM.
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