# MiniMax M3Non-thinking

> Source: Benchize (https://benchize.com) — https://benchize.com/models/minimax-m3-off. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/minimax-m3-off.

MiniMax

Canonical URL: https://benchize.com/models/minimax-m3-off
Last updated: Thu, 22 Oct 2026 08:00:11 GMT

Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations.

MiniMax

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 26.67% | SE ±6.67 pp | 101 / 124 | — | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.26666666666666666 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.26666666666666666 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort none sourceModelVersion MiniMax-M3_none ### Reported statistics Uncertainty Standard error: ±6.67 pp standardError 0.06666666666666668 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label MiniMax-M3 Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-10T17:46:50.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/73` |  |  |  |  |  |  |
| [Chess Puzzles](https://benchize.com/benchmarks/epoch-ai%3Achess_puzzles.md) | 7% | SE ±2.56 pp | 58 / 64 | — | [epoch ai · Chess Puzzles](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.07 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.07 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Chess Puzzles reasoningBudget Not reported Reasoning effort none sourceModelVersion MiniMax-M3_none ### Reported statistics Uncertainty Standard error: ±2.56 pp standardError 0.02564323999762428 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=chess_puzzles.csv) Source epoch ai Original model label MiniMax-M3 Source version Chess Puzzles Evaluated 2026-10-13T13:44:41.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `a5b99d6d35252907b04e9a802873a9754ecc0248be92a1ebbd2ef0450e4bb015` Source locator `/rows/83` |  |  |  |  |  |  |
| [Mystery Game Puzzles](https://benchize.com/benchmarks/epoch-ai%3Amystery_game_puzzles.md) | 8% | SE ±2.73 pp | 65 / 72 | — | [epoch ai · Mystery Game Puzzles](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.08 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.08 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion Mystery Game Puzzles reasoningBudget Not reported Reasoning effort none sourceModelVersion MiniMax-M3_none ### Reported statistics Uncertainty Standard error: ±2.73 pp standardError 0.027265992434429075 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=mystery_game_puzzles.csv) Source epoch ai Original model label MiniMax-M3 Source version Mystery Game Puzzles Evaluated 2026-08-27T18:09:34.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `f66941ed5e9520190b66af57d2b6fd62a9582077dd25ab8764ce651bc0eca00a` Source locator `/rows/65` |  |  |  |  |  |  |
| [BullshitBench v2](https://benchize.com/benchmarks/bullshitbench%3Av2.md) | 63% | — | 40 / 191 | — | [bullshitbench · v2](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `green_rate` \| 0.63 \| score_fraction \| all_attempts \| Higher is better \| \| `red_rate` \| 0.15 \| score_fraction \| all_attempts \| Lower is better \| \| `refusal_rate` \| 0.0 \| score_fraction \| all_attempts \| Lower is better \| \| `avg_score` \| 1.4433 \| score \| judge_grade_0_to_2 \| Higher is better \| ### Configuration Reasoning effort none suite v2 thinkingEnabled false ### Reported statistics acceptedCount 15 answeredCount 100 clearCount 63 errorCount 0 partialCount 22 rank 55 refusalCount 0 sampleSize 100 ### Source [Original source](https://api.github.com/repos/petergpt/bullshit-benchmark/contents/data/v2/latest/leaderboard.csv?ref=3c655234d15967738f95da696e3f938d4862dcf7) Source bullshitbench Original model label minimax/minimax-m3 Source version v2 Observed 2026-10-22T03:10:12.603Z Evidence SHA-256 `98b485e08764d1c97144bc4f7b28ced1a96d50850947c775870dfda0e5d749b5` Source locator `/rows/54` |  |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 81.31% | SE ±2.78 pp | 69 / 126 | — | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.8131313131313131 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8131313131313131 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort none sourceModelVersion MiniMax-M3_none ### Reported statistics Uncertainty Standard error: ±2.78 pp standardError 0.027772533334218946 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label MiniMax-M3 Source version GPQA diamond Evaluated 2026-08-10T17:46:29.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/65` |  |  |  |  |  |  |
| [FrontierCode 1.1 main](https://benchize.com/benchmarks/frontiercode%3Av1_1%3Amain.md) | 14.7% | — | 123 / 125 | $0.68 | [frontiercode](https://cognition.com/data/frontiercode-leaderboard/data.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.147 \| score_fraction \| blocking_criteria_adjusted \| Higher is better \| \| `correct` \| 0.1664 \| score_fraction \| raw_rubric \| Higher is better \| \| `cost` \| 0.6756 \| USD \| per_rollout \| Lower is better \| ### Configuration harness mini-swe-agent Reasoning effort none sourceVersion v1_1 subset main ### Reported statistics flaggedRate 0.015 sampleSize 100 ### Source [Original source](https://cognition.com/data/frontiercode-leaderboard/data.json) Source frontiercode Original model label MiniMax M3 Observed 2026-10-22T05:40:03.220Z Evidence SHA-256 `ff0040778b7bdf69c705ad7474f771fb5e53cfaf5cf8573b3a4614153543d75f` Source locator `/v1_1/data/MiniMax%20M3/none/main` |  |  |  |  |  |  |
| [FrontierCode 1.1 extended](https://benchize.com/benchmarks/frontiercode%3Av1_1%3Aextended.md) | 28.54% | — | 123 / 125 | $0.59 | [frontiercode](https://cognition.com/data/frontiercode-leaderboard/data.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.2854 \| score_fraction \| blocking_criteria_adjusted \| Higher is better \| \| `correct` \| 0.3146 \| score_fraction \| raw_rubric \| Higher is better \| \| `cost` \| 0.5922 \| USD \| per_rollout \| Lower is better \| ### Configuration harness mini-swe-agent Reasoning effort none sourceVersion v1_1 subset extended ### Reported statistics flaggedRate 0.0107 sampleSize 150 ### Source [Original source](https://cognition.com/data/frontiercode-leaderboard/data.json) Source frontiercode Original model label MiniMax M3 Observed 2026-10-22T05:40:03.220Z Evidence SHA-256 `ff0040778b7bdf69c705ad7474f771fb5e53cfaf5cf8573b3a4614153543d75f` Source locator `/v1_1/data/MiniMax%20M3/none/extended` |  |  |  |  |  |  |

---
Cite as: MiniMax M3Non-thinking — Benchize, https://benchize.com/models/minimax-m3-off (retrieved 2026-10-22)
