MiMo-V2.5-Pro

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution
- Context
- 1.1M
- Released
- 5mo ago
- Parameters
- —
- Input / 1M tokens
- $0.44
- Output / 1M tokens
- $0.87
- Cached input / 1M tokens
- $0.0036
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-pro- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Tokenizer
- Other
- Max output tokens
- 131K
- Knowledge cutoff
- 2024-12
- Hugging Face
- XiaomiMiMo/MiMo-V2.5-Pro
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- xiaomi/mimo-v2.5-pro
- 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
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Verified | 78.9 · resolved | — | Source |
| SWE-Bench Pro | 57.2 · resolve rate | 2026-04-22 | Source |
| GPQA Diamond | 86.6 · accuracy | 2026-04-22 | Source |
| DeepSWE | 19 · score | MiMo-V2.5 Pro comparison column · 1.1 | Source |
| ProgramBench | 12.5 · score | MiMo-V2.5 Pro comparison column | Source |
| MiMo Code Bench | 40.4 · score | MiMo-V2.5 Pro comparison column | Source |
| AutomationBench | 16 · score | MiMo-V2.5 Pro comparison column · 1.0.6 | Source |
| Toolathlon-Verified | 49.1 · score | MiMo-V2.5 Pro comparison column | Source |
| GDPval-AA | 1107 · Elo | MiMo-V2.5 Pro comparison column · 2.1 | Source |
| Agents' Last Exam | 13.2 · score | MiMo-V2.5 Pro comparison column | Source |
| Terminal-Bench | 1.5 · score | MiMo-V2.5 Pro comparison column · 4.0 | Source |
| Terminal-Bench | 65.2 · score | MiMo-V2.5 Pro comparison column · 2.1 | Source |
| JobBench | 25 · score | MiMo-V2.5 Pro comparison column | Source |
| CyberGym | 40 · score | MiMo-V2.5 Pro comparison column | Source |
| MiMo Cyber Bench | 0 · score | MiMo-V2.5 Pro comparison column | Source |
| ExploitGym | 0.2 · score | MiMo-V2.5 Pro comparison column | Source |
| ExploitBench | 16.6 · score | MiMo-V2.5 Pro comparison column | Source |
| SEC-Bench Pro | 17.7 · score | MiMo-V2.5 Pro comparison column | Source |
Complete source record (JSON)
{
"id": "xiaomi/mimo-v2.5-pro",
"name": "MiMo-V2.5-Pro",
"description": "Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution",
"family": "mimo",
"last_updated": "2026-04-22",
"knowledge": "2024-12",
"attachment": false,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 131072
},
"benchmarks": [
{
"name": "SWE-Bench Verified",
"score": 78.9,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5-Pro",
"metric": "resolved"
},
{
"name": "SWE-Bench Pro",
"score": 57.2,
"source": "https://mimo.xiaomi.com/mimo-v2-5-pro/",
"metric": "resolve rate",
"date": "2026-04-22"
},
{
"name": "GPQA Diamond",
"score": 86.6,
"source": "https://mimo.xiaomi.com/mimo-v2-5-pro/",
"metric": "accuracy",
"date": "2026-04-22"
},
{
"name": "DeepSWE",
"score": 19,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column",
"version": "1.1"
},
{
"name": "ProgramBench",
"score": 12.5,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "MiMo Code Bench",
"score": 40.4,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "AutomationBench",
"score": 16,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column",
"version": "1.0.6"
},
{
"name": "Toolathlon-Verified",
"score": 49.1,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "GDPval-AA",
"score": 1107,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "Elo",
"variant": "MiMo-V2.5 Pro comparison column",
"version": "2.1"
},
{
"name": "Agents' Last Exam",
"score": 13.2,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "Terminal-Bench",
"score": 1.5,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column",
"version": "4.0"
},
{
"name": "Terminal-Bench",
"score": 65.2,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column",
"version": "2.1"
},
{
"name": "JobBench",
"score": 25,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "CyberGym",
"score": 40,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "MiMo Cyber Bench",
"score": 0,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "ExploitGym",
"score": 0.2,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "ExploitBench",
"score": 16.6,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
},
{
"name": "SEC-Bench Pro",
"score": 17.7,
"source": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL",
"metric": "score",
"variant": "MiMo-V2.5 Pro comparison column"
}
],
"release_date": "2026-04-22",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/XiaomiMiMo/MiMo-V2.5-Pro"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| gmicloud/bf16 | 1.1M | $0.30 | $0.61 | $0.0028 | — | 99.14% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| atlas-cloud/fp8 | 1.0M | $0.44 | $0.87 | $0.0036 | — | 98.23% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| xiaomi/fp8 | 1.0M | $0.44 | $0.87 | $0.0036 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| digitalocean | 262K | $0.48 | $1.80 | $0.10 | — | 97.47% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| novita | 1.0M | $0.48 | $0.96 | $0.003956 | — | 98.03% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| streamlake | 1M | $0.52 | $1.04 | $0.00432 | — | 60.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown 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.