A February 2026 HMMT slice used in newer frontier-model math comparisons.
BenchLM mirrors the published score view for HMMT Feb 2026. Qwen3.7 Max leads the public snapshot at 97.1% , followed by DeepSeek V4 Pro (Max) (95.2%) and DeepSeek V4 Flash (Max) (94.8%). BenchLM does not use these results to rank models overall.
Qwen3.7 Max
Alibaba
DeepSeek V4 Pro (Max)
DeepSeek
DeepSeek V4 Flash (Max)
DeepSeek
The published HMMT Feb 2026 snapshot is tightly clustered at the top: Qwen3.7 Max sits at 97.1%, while the third row is only 2.3 points behind. The broader top-10 spread is 10.7 points, so the benchmark still separates strong models even when the leaders cluster.
17 models have been evaluated on HMMT Feb 2026. The benchmark falls in the Math category. This category carries a 5% weight in BenchLM.ai's overall scoring system. HMMT Feb 2026 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Competition math problems
Format
Contest mathematics
Difficulty
Olympiad-style mathematics
HMMT February 2026 matters because small score deltas at the frontier often depend on which contest set is used. BenchLM keeps this newer slice distinct from older HMMT summary rows.
Version
HMMT Feb 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.
A February 2026 HMMT slice used in newer frontier-model math comparisons.
Qwen3.7 Max by Alibaba currently leads with a score of 97.1% on HMMT Feb 2026.
17 AI models have been evaluated on HMMT Feb 2026 on BenchLM.
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