MiniMaxMiniMax-M1
MiniMax-M1 is a MiniMax open-weights reasoning model, released 13 Jun 2025. Its best configuration ranks #453 of 785 on the BenchLeader Index at 47.5 ±3.9, in the lower half. The ± is the point: 302 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (54) and lowest in agents & tools (36). At $0.963 per million tokens blended it is mid-priced. Output speed of 95 tokens per second puts it faster than most, with a first answer in 22.9 s. Last measured 22 Oct 2026.
- Blended price
- $0.963/M
- $0.550 in · $2.20 out
- Output speed
- 95 tok/s
- measured by Artificial Analysis
- First answer
- 23 s
- first token 0.92 s
- Context
- 1M
- Full answer
- 28 s
- median, reasoning included
- Cost per run
- –
- Released
- 13 Jun 2025
- Overall index48
- Reasoning45
- Coding54
- Agents & tools36
- Maths54
- Knowledge40
- Instruction following44
- Human preference53
- Long context53
- Composite43
How its index has moved
9 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Hard Prompts | 1381#187 | Arena (LMArena) | |
| GPQA Diamond (AA)not in index | 69.7%#302 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 8.9%#342 | Artificial Analysis | |
| CritPt | 0.0%#315 | Artificial Analysis |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Coding | 1416#182 | Arena (LMArena) |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Terminal-Bench Hard | 3.0%#314 | Artificial Analysis | |
| τ²-Bench Telecom (AA)not in index | 34.2%#242 | Artificial Analysis |
Maths
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Maths | 1370#183 | Arena (LMArena) |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-Omniscience | -48.5#375 | Artificial Analysis | |
| AA-Omniscience: accuracynot in index | 22.5%#275 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 8.5%#459 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| IFBench | 41.8%#244 | Artificial Analysis | |
| Arena Instruction Followingnot in index | 1346#191 | Arena (LMArena) |
Human preference
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Text | 1364#187 | Arena (LMArena) | |
| Arena Creative Writingnot in index | 1319#195 | Arena (LMArena) | |
| Arena Multi-turnnot in index | 1357#189 | Arena (LMArena) | |
| Arena Longer Queriesnot in index | 1363#194 | Arena (LMArena) |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Fiction.LiveBench 120k | 59.4%#18 | Fiction.live | |
| AA-LCR | 57.7%#290 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Intelligence Index v4.3.2 | 11.7#346 | Artificial Analysis |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| MiniMax | 66 tok/s | 0.92 s | $0.400 | $2.20 | 1M | – |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0009 | – | 26.0 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0079 | – | 29.2 s |
| Code edit | 6,000 / 1,500 | $0.0066 | – | 38.7 s |
| Agentic coding session | 60,000 / 4,000 | $0.042 | – | 1.1 min |
| Structured extraction | 2,000 / 200 | $0.0015 | – | 25.0 s |
See also
Questions people ask
- What are MiniMax-M1's benchmark scores?
- As of 25 Oct 2026, MiniMax-M1 scores 47.5 ±3.9 on the BenchLeader Index, strongest in maths (54) and weakest in agents & tools (36). That rests on 11 independent benchmark results, and every score on this page links to its publisher.
- How does MiniMax-M1 rank?
- MiniMax-M1 is #453 of 785 ranked configurations on 25 Oct 2026. 302 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does MiniMax-M1 cost per 1M tokens?
- As of 25 Oct 2026, MiniMax-M1 costs $0.550 per 1M input tokens and $2.20 per 1M output tokens, $0.963 blended (three input tokens per output token). The list price last changed on 2 Oct 2026.
- When was MiniMax-M1 released?
- MiniMax released MiniMax-M1 on 13 Jun 2025.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “MiniMax-M1: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/minimax-m1.