MiniMax-M1-40k: benchmark scores, price and ranking
MiniMax-M1-40k from MiniMaxAI ranks #128 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- MiniMaxAI
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #128 of 743 (score 51.4)
Across the 1 benchmark where at least ten models are scored, MiniMax-M1-40k is in the top 10% on 0 and in the top half on 1.
MiniMax-M1-40k benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 81.1% | #31 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About MiniMax-M1-40k
MiniMax-M1-40k is an open-weight model that can run on your own hardware from MiniMaxAI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where MiniMax-M1-40k stands
On our aggregate score, MiniMax-M1-40k is #128 of 743 ranked models, in the top quarter. Its score is 51.4; the scale is centred on 50, so it sits 1.4 points above the typical model. That beats 83% of the ranked field. Among the 2 ranked MiniMaxAI models it is #1. The next one down is MiniMax-Text-01 at 50.6.
MiniMax-M1-40k, benchmark by benchmark
MMLU-Pro puts MiniMax-M1-40k at 81.1%, #31 of 136. That beats 77% of the models tested, but 7.0 points short of Darwin-180B-RSI (88.1%). The results either side are DeepSeek V3 0324 (81.2%) and JoyAI-LLM-Flash (81.0%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so MiniMax-M1-40k is 25.8 points above it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #125 A.X-K2 (51.4)
- #126 GLM-5-FP8 (51.4)
- #127 DeepSeek Chat V2 0628 (51.4)
- #129 Darwin-4B-David (51.3)
- #130 A.X-K1 (51.3)
- #131 JoyAI-LLM-Flash (51.3)
More from MiniMaxAI
- MiniMax-Text-01 (#177, 50.6)
Compare it on the live leaderboard → · How the aggregate score works