Updated daily at 05:00 UTC
- Released
- 22 Dec 2025
- Status
- Legacy
- Context
- 204.8K
- Max output
- 131.1K
- Input per 1M tokens
- $0.30
- Output per 1M tokens
- $1.20
- Open weights
- Yes
- License
- modified-mit
- Parameters
- 230B, 10B active
- Knowledge cutoff
- —
- Reasoning
- Yes
- Modalities
- text → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
Not enough independent results yet
Only independent and third-party results rank a model; self-reported and unattributed numbers never do.
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Humanity's Last Exam (HLE) | Accuracy | 22.2% | Self-reported | — | — | Model Card via Hugging Face Community Evals |
| MMLU-Pro | Accuracy | 88.0% | Self-reported | — | — | EvalEval via Hugging Face Community Evals |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 80.8% | Self-reported | — | — | EvalEval via Hugging Face Community Evals |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 36.6% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 29.2% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
Other MiniMax M versions
- MiniMax-M31 Jun 2026
- MiniMax-M2.718 Mar 2026
- MiniMax-M2.5Feb 2026
- MiniMax-M227 Oct 2025
- MiniMax-M116 Jun 2025
- MiniMax-M3.1-Flash-Preview—