Xiaomi, proprietary

# MiMo-V2-Pro

> MiMo-V2-Pro by Xiaomi, released March 2026. Ranked #103 of 354 with a Noometry Index of 43.0. API: $0.43 in / $0.87 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/mimo-v2-pro
- Last updated: 2026-10-10
- Title: MiMo-V2-Pro Benchmarks, Price & Rank (October 2026)

MiMo-V2-Pro by Xiaomi ranks 103rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.0. Its strongest category is instruction following, where it ranks 49th. API pricing starts at $0.43 per million input tokens and $0.87 per million output tokens, with a 1.05M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #103 of 354
- **Index score:** 43.0
- **Evidence:** Confirmed 23 results
- **Provider:** [Xiaomi](https://noometry.com/providers/xiaomi)
- **Released:** March 18, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 131K
- **Input price:** $0.43 / M
- **Output price:** $0.87 / M
- **Blended price:** $0.54 / M
- **Output speed:** Not measured
- **Value:** #76 of 219
- **Knowledge cutoff:** December 2024
- **Input:** text

## Category scores

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

MiMo-V2-Pro category scores

1.  Coding 43.8
2.  Reasoning 22.1
3.  Math 39.5
4.  Knowledge 41.4
5.  Multilingual 52.7
6.  Instruction Following 76.0
7.  Long Context 41.5
8.  Writing & Preference 62.8
9.  020406080

MiMo-V2-Pro category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 43.8 | #83 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.1 | #206 | 3 |
| [Math](https://noometry.com/best/math) | 39.5 | #102 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 41.4 | #111 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.7 | #81 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 76.0 | #49 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 41.5 | #138 | 3 |
| [Writing & Preference](https://noometry.com/best/writing) | 62.8 | #70 | 3 |

## Strengths and weaknesses

Categories where MiMo-V2-Pro places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

MiMo-V2-Pro: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Instruction Following](https://noometry.com/best/instruction-following) | 76.0 | +4.8 | #49 of 305, top 17% |
| [Writing & Preference](https://noometry.com/best/writing) | 62.8 | +9.0 | #70 of 312, top 23% |
| [Coding](https://noometry.com/best/coding) | 43.8 | +5.0 | #83 of 340, top 25% |

### Weakest categories

MiMo-V2-Pro: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.1 | −1.5 | #206 of 350, top 59% |
| [Long Context](https://noometry.com/best/long-context) | 41.5 | +0.6 | #138 of 296, top 47% |
| [Knowledge](https://noometry.com/best/knowledge) | 41.4 | +4.1 | #111 of 314, top 36% |

## Closest competitors

The models ranked just above and below MiMo-V2-Pro. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to MiMo-V2-Pro
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Mistral Large 4](https://noometry.com/models/mistral-large-4) | #99 | 43.1 | $1.03 | — | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-mistral-large-4) |
| [Claude Opus 4](https://noometry.com/models/claude-opus-4) | #100 | 43.1 | $30 | 29 | [Compare](https://noometry.com/compare/claude-opus-4-vs-mimo-v2-pro) |
| [Amazon Nova Experimental Chat 11 10](https://noometry.com/models/amazon-nova-experimental-chat-11-10) | #101 | 43.0 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-mimo-v2-pro) |
| [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | #102 | 43.0 | $0.88 | 111 | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-qwen3-next-80b-a3b-instruct) |
| [Amazon Nova Experimental Chat 12 10](https://noometry.com/models/amazon-nova-experimental-chat-12-10) | #104 | 42.9 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-mimo-v2-pro) |
| [o3-pro](https://noometry.com/models/o3-pro) | #105 | 42.9 | $35 | 1 | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-o3-pro) |
| [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | #106 | 42.9 | $0.90 | — | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-qwen3-5-plus) |
| [Amazon Nova Experimental Chat 26 01 10](https://noometry.com/models/amazon-nova-experimental-chat-26-01-10) | #107 | 42.8 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-mimo-v2-pro) |

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

MiMo-V2-Pro Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1433 | #64 of 113, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1476 | #49 of 294, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 785.17 | #62 of 105, top 60% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

MiMo-V2-Pro Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 25.8% | #76 of 91, top 84% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization) | 45.9% | #17 of 23, top 74% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/generalization) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1457 | #51 of 297, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

MiMo-V2-Pro Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1447 | #64 of 285, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

MiMo-V2-Pro Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1478 | #44 of 273, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

MiMo-V2-Pro Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1416 | #81 of 297, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1456 | #99 of 285, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1469 | #41 of 223, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1417 | #80 of 231, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1366 | #90 of 211, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1400 | #54 of 213, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1427 | #74 of 283, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1457 | #41 of 226, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

MiMo-V2-Pro Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1445 | #45 of 298, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

MiMo-V2-Pro Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CL-bench](https://noometry.com/benchmarks/cl-bench) | 15.7% | #16 of 19, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CL-bench Life](https://noometry.com/benchmarks/cl-bench-life) | 6.9% | #12 of 13, top 93% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1455 | #47 of 291, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

MiMo-V2-Pro Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1436 | #71 of 297, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1415 | #58 of 295, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1456 | #46 of 295, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

MiMo-V2-Pro API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [xiaomi](https://platform.xiaomimimo.com/#/docs) | $0.43 | $0.87 | $0.0036 | 2026-10-10 |

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

## Compare MiMo-V2-Pro

-   [MiMo-V2-Pro vs Qwen3-Next 80B-A3B Instruct](https://noometry.com/compare/mimo-v2-pro-vs-qwen3-next-80b-a3b-instruct)
-   [MiMo-V2-Pro vs Amazon Nova Experimental Chat 12 10](https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Amazon Nova Experimental Chat 11 10](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs o3-pro](https://noometry.com/compare/mimo-v2-pro-vs-o3-pro)
-   [MiMo-V2-Pro vs Claude Opus 4](https://noometry.com/compare/claude-opus-4-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Qwen3.5 Plus](https://noometry.com/compare/mimo-v2-pro-vs-qwen3-5-plus)
-   [MiMo-V2-Pro vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Qwen3.8 Max](https://noometry.com/compare/mimo-v2-pro-vs-qwen3-8-max)
-   [MiMo-V2-Pro vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-mimo-v2-pro)
-   [MiMo-V2-Pro vs Muse Spark 1.3](https://noometry.com/compare/mimo-v2-pro-vs-muse-spark-1-3)

## Other Xiaomi models

-   [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro)50.3
-   [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash)48.5
-   [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro)45.2
-   [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni)43.6
-   [MiMo-V2.5](https://noometry.com/models/mimo-v2-5)43.4
-   [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash)41.3
-   [MiMo-V2.5-Pro-UltraSpeed](https://noometry.com/models/mimo-v2-5-pro-ultraspeed)
-   [MiMo-V2.6-Pro-UltraSpeed](https://noometry.com/models/mimo-v2-6-pro-ultraspeed)

## Frequently asked questions

### How good is MiMo-V2-Pro?

MiMo-V2-Pro by Xiaomi ranks 103rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.0. Its strongest category is instruction following, where it ranks 49th. API pricing starts at $0.43 per million input tokens and $0.87 per million output tokens, with a 1.05M-token context window.

### How much does MiMo-V2-Pro cost?

MiMo-V2-Pro costs $0.43 per million input tokens and $0.87 per million output tokens on Xiaomi's own API, with cached input at $0.0036.

### What is MiMo-V2-Pro's context window?

MiMo-V2-Pro accepts up to 1.05M tokens of input and can write up to 131K tokens in one response.

### Is MiMo-V2-Pro open source?

No. MiMo-V2-Pro is proprietary and available only through Xiaomi's API and partner platforms.

### What are MiMo-V2-Pro's strengths and weaknesses?

Relative to other ranked models, MiMo-V2-Pro places best in instruction following, writing & preference, coding and lowest in reasoning, long context, knowledge.

### What is MiMo-V2-Pro best at?

Its best category is instruction following, where it ranks 49th on Noometry.

### Cite this page

Noometry. (2026). MiMo-V2-Pro benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/mimo-v2-pro

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/mimo-v2-pro.md).