STEM & Reasoning Benchmark

HMMT Feb 26

HMMT Feb 26 - Harvard-MIT Mathematics Tournament February 2026.

Category

STEM & Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

31

What is HMMT Feb 26?

HMMT Feb 26 is the February round of the Harvard-MIT Mathematics Tournament 2026. HMMT problems are considerably harder than AIME and count among the most difficult high-school competition math in the USA. Models must solve the problems with exact answers — recent tournaments are almost immune to training-data leakage.

What does it test?

HMMT Feb 26 measures hard reasoning in science, technology, engineering and math. In detail, it checks:

  • olympiade-level insight instead of memorising standard tasks
  • correct exact answers within a fixed time window
  • advanced algebra, combinatorics, number theory and geometry
  • resistance to data contamination thanks to very recent problems

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Frequently asked questions

What is the HMMT Feb 26 benchmark?

HMMT Feb 26 is the February round of the Harvard-MIT Mathematics Tournament 2026. HMMT problems are considerably harder than AIME and count among the most difficult high-school competition math in the USA. Models must solve the problems with exact answers — recent tournaments are almost immune to training-data leakage.

What does HMMT Feb 26 test?

HMMT Feb 26 mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: olympiade-level insight instead of memorising standard tasks; correct exact answers within a fixed time window; advanced algebra, combinatorics, number theory and geometry.

How is the HMMT Feb 26 score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get HMMT Feb 26 data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/hmmt-feb-26/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 31 models tested

Reset
# Model Score Date Source Verified
1 Qwen3.8-27B
Qwen Team (Alibaba Cloud)
95.8%
21.10.2026 Report Unverified
2 DeepSeek-V4-Pro
DeepSeek
95.2%
17.06.2026 Report Unverified
3 DeepSeek-V4-Pro
DeepSeek
95.2%
26.06.2026 Report Verified
4 DeepSeek-V4-Flash
DeepSeek
94.8%
26.06.2026 Report Verified
5 Muse-Spark-Open-816B-A42B
Meta Superintelligence Lab
93.9%
— Report Unverified
6 Kimi K2.6
Moonshot AI
92.7%
23.08.2026 Report Verified
7 GLM-5.2
Zhipu AI
92.5%
17.06.2026 Report Verified
8 Ripple-65B Preview
Ricursive Intelligence
90.5%
— Report Verified
9 Kimi K2.5
Moonshot AI
87.1%
23.08.2026 Report Verified
10 MiniMax-M3
MiniMaxAI
84.4%
17.06.2026 Report Unverified
11 Qwen3.6-27B
Qwen Team (Alibaba Cloud)
84.3%
22.04.2026 Qwen Team (official model card) Verified
12 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
84.3%
16.04.2026 Qwen Team (official model card - comparison) Unverified
13 Raon-1 mini
KRAFTON AI
84.1%
21.10.2026 Report Verified
14 Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
83.6%
16.04.2026 Qwen Team (official model card); KRAFTON re-eval (Raon-1-mini-preview card, gpt-5.6-luna harness): 84.5 Verified
15 Spark-X2.5-4B
SparkLLM (XHToken)
81.2%
— Report Verified
16 NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
NVIDIA
80.3%
— Report Unverified
17 Gemma4-26B-A4B
Google
79%
16.04.2026 Qwen Team (official model card - comparison); KRAFTON re-eval (Raon-1-mini-preview card, gpt-5.6-luna harness): 79.9 Unverified
18 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
78.7%
16.04.2026 Qwen Team (official model card - comparison) Unverified
19 Gemma4-31B-it
Google
77.2%
16.04.2026 Qwen Team (official model card - comparison) Unverified
20 Muse-Glimmer-30B
Meta Superintelligence Lab
74.6%
21.10.2026 Report Unverified
21 Qwen3.5-4B
Qwen
69.7%
— Report Verified
22 Gemma4-12B
Google
65.6%
— Report Verified
23 MiniCPM5-2B
OpenBMB
63.8%
— Report Verified
24 granite-4.2-3B
IBM
60.8%
— Report Verified
25 Nemotron-3-Nano-4B
NVIDIA
51.3%
— Report Verified
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What now?

You've seen how models score on HMMT Feb 26 — here's what to do next.