MiniMax
availableShows if the model has enough results for an index.MiniMax M2.1
MiniMax M2.1 is a model from MiniMax. 9 benchmarks count toward its score, in 4 categories.
IndexOverall score out of 100.50.0 ±8.9
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.49/s
Input / 1MUS dollars per 1M input tokens.$0.3
Output / 1MUS dollars per 1M output tokens.$1.2
ContextMaximum tokens in one request.205K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
9 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| MATH 500 | Math | 89.0% | 41.3 | — | 9 Jan 2026 | Vals AI |
| MGSM | Multilingual | 87.9% | — | — | 9 Jan 2026 | Vals AI |
| MMLU Pro | Knowledge | 87.0% | 57.7 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 81.8% | 58.6 | — | 1 Sept 2026 | Vals AI |
| GPQA Diamond | Knowledge | 78.5% | 50.7 | — | 1 Sept 2026 | Vals AI |
| AIME | Math | 77.9% | 50.0 | — | 16 Apr 2026 | Vals AI |
| SWE-bench | Coding | 74.8% | 57.5 | — | 1 Sept 2026 | Vals AI |
| Terminal-Bench 1.0 | Agentic | 41.3% | 46.5 | — | 12 Jan 2026 | Vals AI |
| Terminal-Bench 2.0 | Agentic | 37.1% | 49.1 | — | 4 Jun 2026 | Vals AI |
| IOI v1 | Coding | 2.3% | 41.3 | — | 9 Aug 2026 | Vals AI |
9 benchmarks count, from 9 of 10 results. A grey row does not count. Too few models took that benchmark.