math benchmark
HMMT Feb 26 is a math competition benchmark based on problems from the Harvard-MIT Mathematics Tournament.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score97.10% | Percentile100.00% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelDE | Score95.20% | Percentile90.91% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelDE | Score94.80% | Percentile81.82% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score92.90% | Percentile72.73% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelMA | Score92.70% | Percentile63.64% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelZA | Score92.50% | Percentile54.55% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelDE | Score91.90% | Percentile45.45% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score87.80% | Percentile36.36% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelMI | Score84.90% | Percentile27.27% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score84.30% | Percentile18.18% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score83.60% | Percentile9.09% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelZA | Score82.60% | Percentile0.00% | Participants12 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What HMMT Feb 26 measures and how its scores work.
HMMT Feb 26 is a benchmark based on problems from the Harvard-MIT Mathematics Tournament.
It measures advanced mathematical problem-solving and reasoning using Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about HMMT Feb 26.
Qwen3.7 Max is currently ranked first with 97.10%.
The current leaders are Qwen3.7 Max (97.10%), DeepSeek-V4-Pro-Max (95.20%), and DeepSeek-V4-Flash-Max (94.80%).
DeepSeek-V4-Flash-Max has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
The fastest matched records are GLM-5.2 (3.96 tok/s via ZAI) and Kimi K2.6 (1.24 tok/s via Moonshot AI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures advanced mathematical problem-solving and reasoning using Score, reported as a ratio.
Yes. Higher values rank better for this benchmark.
12 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis hmmt feb 26 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3.7 Max currently leads HMMT Feb 26 with 97.10%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.