MiMo-V2.5

Tool callingStructured outputReasoningImage inputAudio inputVideo input

Hugging Face Launch post Website

Open MiMo model for multimodal coding agents and long-context automation

Context: 1.1M
Released: 5mo ago
Parameters: —
Input / 1M tokens: $0.14
Output / 1M tokens: $0.28
Cached input / 1M tokens: $0.0028

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer: Xiaomi
Model family: MiMo
Type: Language model
Predecessor: —
Successor: —
Released: April 22, 2026
Model ID: xiaomi/mimo-v2.5
Openness: Open weights
License: —
Parameters: —
Input modalities: text, audio, image, video
Output modalities: text
Modality: text+image+audio+video->text
Tokenizer: Other
Max output tokens: 131K
Knowledge cutoff: 2024-12
Hugging Face: XiaomiMiMo/MiMo-V2.5
Source freshness: Metadata synced Oct 8, 2026, 10:17 PM UTC

Additional source evidence

Source model: xiaomi/mimo-v2.5
Source family: mimo
Last updated: 2026-04-22
Knowledge cutoff: 2024-12
Model context: 1.0M
Model output limit: 131K
Open weights: Yes
File attachments: Yes
Reasoning: Yes
Tool calling: Yes
Temperature control: Yes

Downloadable weights

Hugging Face

Published benchmarks

Benchmark	Score	Evaluation details	Evidence
MiMo Coding Bench	71.8 · score	—	Source
Claw-Eval	62.3 · score	text	Source
Terminal-Bench	65.8 · score	2.0	Source
SWE-Bench Pro	56.1 · score	—	Source
CharXiv Reasoning	81 · score	—	Source
MMMU-Pro	77.9 · score	—	Source
HR-Bench	88.5 · score	4K	Source
OmniDocBench	87.2 · score	—	Source
Claw-Eval	23.8 · score	multimodal	Source
Video-MME	87.7 · score	—	Source
DailyOmni	83.5 · score	—	Source
VideoHolmes	64 · score	—	Source

Complete source record (JSON)

{
  "id": "xiaomi/mimo-v2.5",
  "name": "MiMo-V2.5",
  "description": "Open MiMo model for multimodal coding agents and long-context automation",
  "family": "mimo",
  "last_updated": "2026-04-22",
  "knowledge": "2024-12",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "audio",
      "video"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1048576,
    "output": 131072
  },
  "benchmarks": [
    {
      "name": "MiMo Coding Bench",
      "score": 71.8,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "Claw-Eval",
      "score": 62.3,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score",
      "variant": "text"
    },
    {
      "name": "Terminal-Bench",
      "score": 65.8,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score",
      "version": "2.0"
    },
    {
      "name": "SWE-Bench Pro",
      "score": 56.1,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "CharXiv Reasoning",
      "score": 81,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "MMMU-Pro",
      "score": 77.9,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "HR-Bench",
      "score": 88.5,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score",
      "variant": "4K"
    },
    {
      "name": "OmniDocBench",
      "score": 87.2,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "Claw-Eval",
      "score": 23.8,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score",
      "variant": "multimodal"
    },
    {
      "name": "Video-MME",
      "score": 87.7,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "DailyOmni",
      "score": 83.5,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    },
    {
      "name": "VideoHolmes",
      "score": 64,
      "source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5",
      "metric": "score"
    }
  ],
  "release_date": "2026-04-22",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5"
    }
  ]
}

Infrastructure

Provider availability

All providers

Provider	Endpoint	Context	Input /M tokens	Output /M tokens	Cached input /M tokens	Cache write /M tokens	Uptime 1d	Data handling
GMICloud	gmicloud/fp8	1.1M	$0.12	$0.24	$0.00255	—	81.18%	ZDR: No Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15
Xiaomi	xiaomi/fp8	1.0M	$0.14	$0.28	$0.0028	—	89.86%	ZDR: No Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15
Novita	novita/fp8	1.0M	$0.17	$0.34	$0.0034	—	72.20%	ZDR: Yes Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15
StreamLake	streamlake	1M	$0.17	$0.34	$0.00336	—	0.76%	ZDR: No Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15
Venice	venice/fp8	1M	$0.40	$2.00	$0.08	—	78.92%	ZDR: Yes Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

Can I run this?

Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.

Browse hardware