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.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 31 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 26 |
Spark-X2.5-1.7B
SparkLLM (XHToken)
|
48.4%
|
— | Report | Verified |
| 27 |
LFM2.5-8B-A1B
LiquidAI
|
38.5%
|
— | Report | Verified |
| 28 |
Gemma4-E4B
Google
|
34.2%
|
— | Report | Verified |
| 29 |
LFM2.5-2.6B
LiquidAI
|
33.7%
|
— | Report | Verified |
| 30 |
Qwen3.5-2B
Qwen Team (Alibaba Cloud)
|
21.5%
|
— | Report | Verified |
| 31 |
Gemma4-E2B
Google
|
20.5%
|
— | Report | Verified |