HMMT Feb 2026activeMathematics

HMMT Feb 2026: HMMT February 2026

Metric: Score (higher is better)Introduced: 2026

MathArena benchmark based on the February 2026 Harvard-MIT Mathematics Tournament, cited in Microsoft AI's MAI-Thinking-1 technical report.

Models ranked

5

tracked on this benchmark

Score band

84.9 – 25.8

best → lowest tracked

Snapshot trend

-25.30

Jun 2 → Oct 12 · 3 models

Leaderboard

Tracked models ranked by Score (higher is better).

Compare candidates
#Model variant and provenanceScore
1
MAI-Thinking-1
Version: HMMT Feb 2026Harness: Not recordedEvaluator: Not recordedObserved: Jun 2, 2026Confidence: Not recordedSource

Notes: Microsoft AI technical report Table 11 result for MAI-Thinking-1.

84.9
2
K2 Horizon 7B
Version: HMMT Feb 2026Harness: Not recordedEvaluator: Not recordedObserved: Oct 12, 2026Confidence: Not recordedSource

Notes: Scores from the released-checkpoint "after" table on the Hugging Face model card.

77.8
3
K2 Horizon 3.7B
Version: HMMT Feb 2026Harness: Not recordedEvaluator: Not recordedObserved: Oct 12, 2026Confidence: Not recordedSource
75.2
4
ZAYA1-8B
Version: HMMT Feb 2026Harness: Not recordedEvaluator: Not recordedObserved: Oct 9, 2026Confidence: Not recordedSource
71.6
5
K2 Horizon 0.9B
Version: HMMT Feb 2026Harness: Not recordedEvaluator: Not recordedObserved: Oct 12, 2026Confidence: Not recordedSource
25.8

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

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Last reviewed: Jun 3, 2026