math benchmark
HMMT25 is the Harvard-MIT Mathematics Tournament 2025, a student-organized mathematics competition for high school students with events at MIT in November 2025 and Harvard in February 2026.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score96.70% | Percentile100.00% | Participants28 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score94.60% | Percentile96.30% | Participants28 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score92.70% | Percentile92.59% | Participants28 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score90.70% | Percentile88.89% | Participants28 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score90.30% | Percentile85.19% | Participants28 | EvidenceC | Evaluated |
| Rank06 | ModelXA | Score90.00% | Percentile81.48% | Participants28 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score89.80% | Percentile77.78% | Participants28 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score89.20% | Percentile74.07% | Participants28 | EvidenceC | Evaluated |
| Rank09 | ModelIB | Score89.17% | Percentile70.37% | Participants28 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score89.10% | Percentile66.67% | Participants28 | EvidenceC | Evaluated |
| Rank11 | ModelSA | Score85.80% | Percentile62.96% | Participants28 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score83.90% | Percentile59.26% | Participants28 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score82.90% | Percentile55.56% | Participants28 | EvidenceC | Evaluated |
| Rank14 | ModelIB | Score78.33% | Percentile51.85% | Participants28 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score77.40% | Percentile48.15% | Participants28 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score76.80% | Percentile44.44% | Participants28 | EvidenceC | Evaluated |
| Rank17 | ModelSA | Score74.20% | Percentile40.74% | Participants28 | EvidenceC | Evaluated |
| Rank18 | ModelAC | Score73.90% | Percentile37.04% | Participants28 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score67.60% | Percentile33.33% | Participants28 | EvidenceC | Evaluated |
| Rank20 | ModelIB | Score66.67% | Percentile29.63% | Participants28 | EvidenceC | Evaluated |
| Rank21 | ModelAC | Score60.60% | Percentile25.93% | Participants28 | EvidenceC | Evaluated |
| Rank22 | ModelAC | Score57.40% | Percentile22.22% | Participants28 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score55.40% | Percentile18.52% | Participants28 | EvidenceC | Evaluated |
| Rank24 | ModelAC | Score54.10% | Percentile14.81% | Participants28 | EvidenceC | Evaluated |
| Rank25 | ModelAC | Score53.10% | Percentile11.11% | Participants28 | EvidenceC | Evaluated |
| Rank26 | ModelAC | Score50.60% | Percentile7.41% | Participants28 | EvidenceC | Evaluated |
| Rank27 | ModelAC | Score32.50% | Percentile3.70% | Participants28 | EvidenceC | Evaluated |
| Rank28 | ModelAC | Score30.70% | Percentile0.00% | Participants28 | 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 HMMT25 measures and how its scores work.
HMMT25 is a mathematics competition featuring individual tests, team rounds, and guts rounds.
HMMT25 measures performance using the Score metric, 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 HMMT25.
Grok-4 Heavy is currently ranked first with 96.70%.
The current leaders are Grok-4 Heavy (96.70%), Qwen3.6 Plus (94.60%), and Qwen3.5-397B-A17B (92.70%).
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
The fastest matched records are Grok-4 (100.00 tok/s via xAI) and Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
HMMT25 measures performance using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
28 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis hmmt25 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
Grok-4 Heavy currently leads HMMT25 with 96.70%. 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.