MiMo-V2.6-Pro-UltraSpeed

MiMo pro model for strong multimodal reasoning and agent execution
- Context
- 1.0M
- Released
- 3w ago
- Parameters
- —
- Input / 1M tokens
- $4.35
- Output / 1M tokens
- $8.70
- Cached input / 1M tokens
- $0.04
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
- September 21, 2026
- Model ID
xiaomi/mimo-v2.6-pro-ultraspeed- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text, image, video, audio
- Output modalities
- text
- Modality
- text+image+audio+video->text
- Tokenizer
- Other
- Max output tokens
- 131K
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- xiaomi/mimo-v2.6-pro-ultraspeed
- Source family
- mimo
- Last updated
- 2026-09-21
- Model context
- 1.0M
- Model output limit
- 131K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "xiaomi/mimo-v2.6-pro-ultraspeed",
"name": "MiMo-V2.6-Pro-UltraSpeed",
"description": "MiMo pro model for strong multimodal reasoning and agent execution",
"family": "mimo",
"last_updated": "2026-09-21",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"audio",
"video"
],
"output": [
"text"
]
},
"limit": {
"context": 1048576,
"output": 131072
},
"release_date": "2026-09-21",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| xiaomi/fp8 | 1.0M | $4.35 | $8.70 | $0.04 | — | 99.81% | 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.