Xiaomi, open weights

# MiMo-V2.5

> MiMo-V2.5 by Xiaomi, released April 2026. Ranked #93 of 354 with a Noometry Index of 43.4. API: $0.14 in / $0.28 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/mimo-v2-5
- Last updated: 2026-10-10
- Title: MiMo-V2.5 Benchmarks, Price & Rank (October 2026) | Noometry

MiMo-V2.5 by Xiaomi ranks 93rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.4. Its strongest category is multimodal, where it ranks 54th. API pricing starts at $0.14 per million input tokens and $0.28 per million output tokens, with a 1.05M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #93 of 354
- **Index score:** 43.4
- **Evidence:** Confirmed 23 results
- **Provider:** [Xiaomi](https://noometry.com/providers/xiaomi)
- **Released:** April 22, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 131K
- **Input price:** $0.14 / M
- **Output price:** $0.28 / M
- **Blended price:** $0.18 / M
- **Output speed:** Not measured
- **Value:** #29 of 219
- **Knowledge cutoff:** December 2024
- **Input:** text, image, audio, video
- **Hugging Face:** [XiaomiMiMo/MiMo-V2.5](https://huggingface.co/XiaomiMiMo/MiMo-V2.5)

## Category scores

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

MiMo-V2.5 category scores

1.  Coding 43.9
2.  Reasoning 28.6
3.  Math 36.8
4.  Knowledge 40.8
5.  Multimodal 39.8
6.  Multilingual 51.9
7.  Instruction Following 75.5
8.  Long Context 44.2
9.  Writing & Preference 61.6
10.  020406080

MiMo-V2.5 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 43.9 | #81 | 3 |
| [Reasoning](https://noometry.com/best/reasoning) | 28.6 | #101 | 2 |
| [Math](https://noometry.com/best/math) | 36.8 | #163 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 40.8 | #115 | 1 |
| [Multimodal](https://noometry.com/best/multimodal) | 39.8 | #54 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 51.9 | #99 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.5 | #60 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.2 | #73 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 61.6 | #86 | 3 |

## Strengths and weaknesses

Categories where MiMo-V2.5 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

MiMo-V2.5: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.5 | +4.3 | #60 of 305, top 20% |
| [Coding](https://noometry.com/best/coding) | 43.9 | +5.2 | #81 of 340, top 24% |
| [Long Context](https://noometry.com/best/long-context) | 44.2 | +3.2 | #73 of 296, top 25% |

### Weakest categories

MiMo-V2.5: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 36.8 | +0.2 | #163 of 327, top 50% |
| [Multimodal](https://noometry.com/best/multimodal) | 39.8 | +1.2 | #54 of 128, top 43% |
| [Knowledge](https://noometry.com/best/knowledge) | 40.8 | +3.5 | #115 of 314, top 37% |

## Closest competitors

The models ranked just above and below MiMo-V2.5. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to MiMo-V2.5
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [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-mimo-v2-5) |
| [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | #90 | 43.5 | $0.15 | 3 | [Compare](https://noometry.com/compare/gemma-4-31b-it-vs-mimo-v2-5) |
| [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | #91 | 43.5 | $1.22 | 85 | [Compare](https://noometry.com/compare/mimo-v2-5-vs-qwen3-235b-a22b) |
| [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) | #92 | 43.5 | $0.11 | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-mimo-v2-5) |
| [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | #94 | 43.3 | $1.71 | — | [Compare](https://noometry.com/compare/kimi-k2-7-code-vs-mimo-v2-5) |
| [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | #95 | 43.2 | $1.22 | — | [Compare](https://noometry.com/compare/mimo-v2-5-vs-qwen3-vl-235b-a22b) |
| [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | #96 | 43.2 | $1.13 | — | [Compare](https://noometry.com/compare/dola-seed-2-0-pro-vs-mimo-v2-5) |
| [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | #97 | 43.1 | $0.45 | 30 | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mimo-v2-5) |

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-V2.5 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1438 | #60 of 113, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 43.1% | #66 of 121, top 55% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1469 | #59 of 294, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 513.95 | #85 of 105, top 81% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

MiMo-V2.5 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 3.7% | #61 of 134, top 46% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1450 | #62 of 297, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

MiMo-V2.5 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 16% | #55 of 77, top 72% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1436 | #77 of 285, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

MiMo-V2.5 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1460 | #63 of 273, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

MiMo-V2.5 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1247 | #57 of 122, top 47% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

MiMo-V2.5 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1404 | #99 of 297, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1468 | #77 of 285, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1447 | #75 of 223, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1421 | #76 of 231, top 33% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1306 | #119 of 211, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1363 | #90 of 213, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1395 | #109 of 283, top 39% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1416 | #97 of 226, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

MiMo-V2.5 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1434 | #56 of 298, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

MiMo-V2.5 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1445 | #60 of 291, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

MiMo-V2.5 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1428 | #82 of 297, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1393 | #90 of 295, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1445 | #63 of 295, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

MiMo-V2.5 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [deepinfra](https://deepinfra.com/models) | $0.14 | $0.28 | $0.0028 | 2026-10-10 |
| [openrouter](https://openrouter.ai/xiaomi/mimo-v2.5) | $0.14 | $0.28 | $0.0028 | 2026-10-10 |
| [xiaomi](https://platform.xiaomimimo.com/#/docs) | $0.14 | $0.28 | $0.0028 | 2026-10-10 |

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

## Compare MiMo-V2.5

-   [MiMo-V2.5 vs Gemma 4 26B A4B IT](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Kimi K2.7 Code](https://noometry.com/compare/kimi-k2-7-code-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Qwen3 235B-A22B](https://noometry.com/compare/mimo-v2-5-vs-qwen3-235b-a22b)
-   [MiMo-V2.5 vs Qwen3-VL 235B-A22B](https://noometry.com/compare/mimo-v2-5-vs-qwen3-vl-235b-a22b)
-   [MiMo-V2.5 vs Gemma 4 31B IT](https://noometry.com/compare/gemma-4-31b-it-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Seed 2.0 Pro](https://noometry.com/compare/dola-seed-2-0-pro-vs-mimo-v2-5)
-   [MiMo-V2.5 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Qwen3.8 Max](https://noometry.com/compare/mimo-v2-5-vs-qwen3-8-max)
-   [MiMo-V2.5 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-mimo-v2-5)
-   [MiMo-V2.5 vs Muse Spark 1.3](https://noometry.com/compare/mimo-v2-5-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-Pro](https://noometry.com/models/mimo-v2-pro)43.0
-   [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-V2.5?

MiMo-V2.5 by Xiaomi ranks 93rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.4. Its strongest category is multimodal, where it ranks 54th. API pricing starts at $0.14 per million input tokens and $0.28 per million output tokens, with a 1.05M-token context window.

### How much does MiMo-V2.5 cost?

MiMo-V2.5 costs $0.14 per million input tokens and $0.28 per million output tokens on Xiaomi's own API, with cached input at $0.0028.

### What is MiMo-V2.5's context window?

MiMo-V2.5 accepts up to 1.05M tokens of input and can write up to 131K tokens in one response.

### Is MiMo-V2.5 open source?

Yes. MiMo-V2.5's weights are downloadable from Hugging Face (XiaomiMiMo/MiMo-V2.5); check the license for commercial terms.

### What are MiMo-V2.5's strengths and weaknesses?

Relative to other ranked models, MiMo-V2.5 places best in instruction following, coding, long context and lowest in math, multimodal, knowledge.

### What is MiMo-V2.5 best at?

Its best category is multimodal, where it ranks 54th on Noometry.

### Cite this page

Noometry. (2026). MiMo-V2.5 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/mimo-v2-5

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/mimo-v2-5.md).