MiniMax-M2.1
70±0
70interval71
aiqbench · LLM benchmarks
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Released:
minimax-m2.7
56±1
55interval58
minimax-m2
55±0
54interval56
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 34 | MiniMax-M2.1 | minimax | Dec 2025 | $0.30 / $1.20 | 70.3 90.5Ranked 70.3 = (3 × 90.5 + 3 × 50) ÷ 6. 90.5 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | 17 | 3/22 | #34–201 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 99 | 92 | 81 | — | ||
| 241 | minimax-m2.7 | minimax | Apr 2026 | $0.30 / $1.20 | 56.3 60.2Ranked 56.3 = (5 × 60.2 + 3 × 50) ÷ 8. 60.2 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 55–58 | 61 | 5/22 | #67–241 | 68 | 39 | — | 32 | — | — | — | — | — | — | — | — | — | — | 69 | — | — | — | — | — | 93 | — | ||
| 282 | minimax-m2 | minimax | Oct 2025 | $0.26 / $1.02 | 54.9 57.0Ranked 54.9 = (7 × 57.0 + 3 × 50) ÷ 10. 57.0 is the mean percentile over the 7 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 54–56 | 88 | 7/22 | #135–415 | 47 | 17 | — | 5 | — | — | — | — | — | — | — | — | — | — | 71 | — | — | — | 79 | 93 | 86 | — | ||
| 365 | minimax-m2p5 | MiniMaxAI | — | — | 51.8 57.1Ranked 51.8 = (1 × 57.1 + 3 × 50) ÷ 4. 57.1 is the mean percentile over the 1 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | — | 1/22low | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57 | ||
| 457 | minimax-m2.5 | minimax | Feb 2026 | $0.27 / $0.95 | 48.9 48.3Ranked 48.9 = (6 × 48.3 + 3 × 50) ÷ 9. 48.3 is the mean percentile over the 6 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 48–50 | 72 | 6/22 | #82–457 | 59 | 35 | — | 13 | — | — | — | — | — | — | — | 35 | — | — | 62 | — | — | — | — | — | 85 | — | ||
| 578 | minimax-m2p1 | MiniMaxAI | — | — | 44.9 29.5Ranked 44.9 = (1 × 29.5 + 3 × 50) ÷ 4. 29.5 is the mean percentile over the 1 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | — | 1/22low | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 30 | ||
| 628 | minimax-m2.1-preview | minimax | Oct 2026 | — | 43.8 37.5Ranked 43.8 = (3 × 37.5 + 3 × 50) ÷ 6. 37.5 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 42–46 | 36 | 3/22 | #94–628 | 57 | 34 | — | 22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||
| 676 | minimax-m2p7 | MiniMaxAI | — | — | 42.5 20.0Ranked 42.5 = (1 × 20.0 + 3 × 50) ÷ 4. 20.0 is the mean percentile over the 1 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | — | 1/22low | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 20 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model