MiniMax, open weights

# MiniMax-M3

> MiniMax-M3 by MiniMax, released June 2026. Ranked #85 of 354 with a Noometry Index of 43.8. API: $0.30 in / $1.20 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/minimax-m3
- Last updated: 2026-10-10
- Title: MiniMax-M3 Benchmarks, Price & Rank (October 2026)

MiniMax-M3 by MiniMax ranks 85th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.8. Its strongest category is knowledge, where it ranks 35th. API pricing starts at $0.30 per million input tokens and $1.20 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #85 of 354
- **Index score:** 43.8
- **Evidence:** Confirmed 41 results
- **Provider:** [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax)
- **Released:** June 1, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 512K
- **Input price:** $0.30 / M
- **Output price:** $1.20 / M
- **Blended price:** $0.52 / M
- **Output speed:** Not measured
- **Value:** #73 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video
- **Hugging Face:** [MiniMaxAI/Minimax-M3](https://huggingface.co/MiniMaxAI/Minimax-M3)

## Category scores

Each category score combines every public result we have in that category.

MiniMax-M3 category scores

1.  Coding 41.8
2.  Agentic & Tool Use 22.6
3.  Reasoning 30.1
4.  Math 40.0
5.  Knowledge 58.4
6.  Multimodal 40.2
7.  Multilingual 53.0
8.  Instruction Following 75.5
9.  Long Context 44.2
10.  Writing & Preference 62.1
11.  020406080

MiniMax-M3 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 41.8 | #118 | 4 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 22.6 | #130 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 30.1 | #87 | 9 |
| [Math](https://noometry.com/best/math) | 40.0 | #95 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 58.4 | #35 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 40.2 | #51 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 53.0 | #75 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.5 | #62 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.2 | #72 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 62.1 | #83 | 4 |

## Strengths and weaknesses

Categories where MiniMax-M3 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

MiniMax-M3: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 58.4 | +21.1 | #35 of 314, top 12% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.5 | +4.2 | #62 of 305, top 21% |
| [Long Context](https://noometry.com/best/long-context) | 44.2 | +3.2 | #72 of 296, top 25% |

### Weakest categories

MiniMax-M3: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 22.6 | −7.8 | #130 of 154, top 85% |
| [Multimodal](https://noometry.com/best/multimodal) | 40.2 | +1.6 | #51 of 128, top 40% |
| [Coding](https://noometry.com/best/coding) | 41.8 | +3.1 | #118 of 340, top 35% |

## Closest competitors

The models ranked just above and below MiniMax-M3. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to MiniMax-M3
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | #81 | 44.1 | $6 | 85 | [Compare](https://noometry.com/compare/claude-sonnet-4-5-vs-minimax-m3) |
| [Chatgpt 4o Latest 20250326](https://noometry.com/models/chatgpt-4o) | #82 | 43.8 | — | 21 | [Compare](https://noometry.com/compare/chatgpt-4o-vs-minimax-m3) |
| [ERNIE 5.1](https://noometry.com/models/ernie-5-1) | #83 | 43.8 | — | — | [Compare](https://noometry.com/compare/ernie-5-1-vs-minimax-m3) |
| [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | #84 | 43.8 | $1.90 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-minimax-m3) |
| [Grok 4.3](https://noometry.com/models/grok-4-3) | #86 | 43.8 | $1.56 | — | [Compare](https://noometry.com/compare/grok-4-3-vs-minimax-m3) |
| [Qwen3 Max](https://noometry.com/models/qwen3-max) | #87 | 43.7 | $2.40 | 48 | [Compare](https://noometry.com/compare/minimax-m3-vs-qwen3-max) |
| [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | #88 | 43.6 | $0.18 | — | [Compare](https://noometry.com/compare/mimo-v2-omni-vs-minimax-m3) |
| [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | #89 | 43.6 | — | — | [Compare](https://noometry.com/compare/kimi-k2-5-instant-vs-minimax-m3) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

MiniMax-M3 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 14.7% | #33 of 37, top 90% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1482 | #51 of 113, top 46% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 47.1% | #52 of 121, top 43% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1469 | #58 of 294, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 640.02 | #76 of 105, top 73% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

MiniMax-M3 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 37.7% | #38 of 49, top 78% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) | 4.6% | #8 of 9, top 89% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GBAEval](https://noometry.com/benchmarks/gbaeval) | 0.9% | #16 of 23, top 70% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 2,158 | #43 of 60, top 72% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

MiniMax-M3 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 45.8% | #48 of 77, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 65.1% | #54 of 91, top 60% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 3.7% | #62 of 134, top 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 14% | #71 of 129, top 56% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 4% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1447 | #70 of 297, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 7% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 8% | #65 of 74, top 88% | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 78.9% | #78 of 151, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 33.7% | #67 of 125, top 54% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 55% | #13 of 25, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 146.95 | #66 of 213, top 31% |  | [Epoch AI](https://epoch.ai/eci) | 2026-06-01 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 61.4 | #12 of 72, top 17% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

MiniMax-M3 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 71.1% | #91 of 173, top 53% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 26.7% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 18% | #52 of 77, top 68% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1429 | #87 of 285, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

MiniMax-M3 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 90.9% | #30 of 186, top 17% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 81.3% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1461 | #61 of 273, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

MiniMax-M3 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1253 | #52 of 122, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1435 | #27 of 38, top 72% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

MiniMax-M3 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1420 | #75 of 297, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1463 | #85 of 285, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1447 | #78 of 223, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1426 | #70 of 231, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1381 | #77 of 211, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1372 | #84 of 213, top 40% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1428 | #71 of 283, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1432 | #80 of 226, top 36% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

MiniMax-M3 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1433 | #58 of 298, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

MiniMax-M3 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1445 | #59 of 291, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

MiniMax-M3 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1433 | #75 of 297, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1404 | #69 of 295, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench 4](https://noometry.com/benchmarks/eqbench-4) | 1150 | #20 of 28, top 72% |  | [EQ-Bench](https://eqbench.com/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1442 | #69 of 295, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

MiniMax-M3 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [deepinfra](https://deepinfra.com/models) | $0.28 | $1.10 | $0.056 | 2026-10-10 |
| [fireworks](https://fireworks.ai/docs/) | $0.30 | $1.20 | $0.06 | 2026-10-10 |
| [minimax](https://platform.minimax.io/docs/guides/quickstart) | $0.30 | $1.20 | $0.06 | 2026-10-10 |
| [openrouter](https://openrouter.ai/minimax/minimax-m3) | $0.30 | $1.20 | $0.06 | 2026-10-10 |
| [together](https://docs.together.ai/docs/serverless-models) | $0.30 | $1.20 | $0.06 | 2026-10-10 |

[All MiniMax API prices →](https://noometry.com/llm-pricing/minimax) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare MiniMax-M3

-   [MiniMax-M3 vs MiniMax-M2.7](https://noometry.com/compare/minimax-m2-7-vs-minimax-m3)
-   [MiniMax-M3 vs GLM-5V-Turbo](https://noometry.com/compare/glm-5v-turbo-vs-minimax-m3)
-   [MiniMax-M3 vs Grok 4.3](https://noometry.com/compare/grok-4-3-vs-minimax-m3)
-   [MiniMax-M3 vs ERNIE 5.1](https://noometry.com/compare/ernie-5-1-vs-minimax-m3)
-   [MiniMax-M3 vs Qwen3 Max](https://noometry.com/compare/minimax-m3-vs-qwen3-max)
-   [MiniMax-M3 vs Chatgpt 4o Latest 20250326](https://noometry.com/compare/chatgpt-4o-vs-minimax-m3)
-   [MiniMax-M3 vs MiMo-V2-Omni](https://noometry.com/compare/mimo-v2-omni-vs-minimax-m3)
-   [MiniMax-M3 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-minimax-m3)
-   [MiniMax-M3 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-minimax-m3)
-   [MiniMax-M3 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-minimax-m3)
-   [MiniMax-M3 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-minimax-m3)
-   [MiniMax-M3 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-minimax-m3)
-   [MiniMax-M3 vs Qwen3.8 Max](https://noometry.com/compare/minimax-m3-vs-qwen3-8-max)
-   [MiniMax-M3 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-minimax-m3)

## Other MiniMax models

-   [MiniMax M1](https://noometry.com/models/minimax-m1)40.3
-   [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1)38.9
-   [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5)38.3
-   [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7)37.7
-   [MiniMax-M2](https://noometry.com/models/minimax-m2)37.4
-   [MiniMax-01](https://noometry.com/models/minimax-01)
-   [MiniMax-M2.5-highspeed](https://noometry.com/models/minimax-m2-5-highspeed)
-   [MiniMax-M2.7-highspeed](https://noometry.com/models/minimax-m2-7-highspeed)

## Frequently asked questions

### How good is MiniMax-M3?

MiniMax-M3 by MiniMax ranks 85th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.8. Its strongest category is knowledge, where it ranks 35th. API pricing starts at $0.30 per million input tokens and $1.20 per million output tokens, with a 1M-token context window.

### How much does MiniMax-M3 cost?

MiniMax-M3 costs $0.30 per million input tokens and $1.20 per million output tokens on MiniMax's own API, with cached input at $0.06.

### What is MiniMax-M3's context window?

MiniMax-M3 accepts up to 1M tokens of input and can write up to 512K tokens in one response.

### Is MiniMax-M3 open source?

Yes. MiniMax-M3's weights are downloadable from Hugging Face (MiniMaxAI/Minimax-M3); check the license for commercial terms.

### What are MiniMax-M3's strengths and weaknesses?

Relative to other ranked models, MiniMax-M3 places best in knowledge, instruction following, long context and lowest in agentic & tool use, multimodal, coding.

### What is MiniMax-M3 best at?

Its best category is knowledge, where it ranks 35th on Noometry.

### Cite this page

Noometry. (2026). MiniMax-M3 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/minimax-m3

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/minimax-m3.md).