MiMo-V2.6-Pro
Overview
MiMo-V2.6-Pro is Xiaomi MiMo's flagship open-weight, native multimodal reasoning model in the V2.6 series, released on September 22, 2026. Available through the API as mimo-v2.6-pro, its sparse Mixture-of-Experts architecture and 1M-token context window target complex software engineering, extended agent workflows, and research involving multiple tools and modalities.
Key Features
- High-Capacity Sparse Architecture: Uses 1.02 trillion total parameters with 42 billion activated parameters; the published MiMo-V2.6-Pro-RL checkpoint is MIT-licensed.
- Native Multimodal Reasoning: Combines text, image, video, and audio understanding for tasks that require reasoning across different forms of evidence.
- Long-Horizon Agent Training: Mixed reinforcement learning spans coding, general agents, visual tasks, and cybersecurity across multiple agent frameworks.
- Extended Working Context: A 1M-token window accommodates large repositories, lengthy documents, and accumulated tool results.
- Tool-Assisted Creation: Supports code-driven interfaces, presentations, and 3D workflows through external tools and visual feedback.
Best Use Cases
- Repository-Scale Software Engineering: Multi-file implementation, debugging, testing, and revision that require sustained reasoning over code and tool histories.
- Complex Workflow Automation: Multi-step tasks across applications where the agent must inspect intermediate results and adjust subsequent actions.
- Multimodal Research Assistance: Synthesizing long documents and visual or audio evidence, with external search and computation when needed.
- Visual Development and Content Production: Building interfaces, presentations, and interactive scenes through generated code, authoring tools, and rendered-result checks.
Capabilities and Limitations
| Capability | Description |
|---|---|
| Reasoning | Deep thinking is enabled by default and can be disabled through thinking.type in Chat Completions. |
| Coding | Xiaomi's released model-card evaluation reports 71.9 on DeepSWE v1.1. |
| Agent Evaluation | Xiaomi reports 76.9 on Toolathlon-Verified and 82.0 on OSWorld-Verified. These are provider-reported benchmark results, not production guarantees. |
| Multimodal | Text, image, video, and audio input; text output. |
| Context Window | 1M tokens. |
| Max Output | 131,072 tokens, shared by reasoning and the final response. |
| Tool Use | Function calling, streaming, prompt caching, and Xiaomi's separately billed web-search service. |
| Structured Output | JSON object mode; fields, types, and nesting remain prompt-defined and require application-side validation. |
Known Limitations
- Native output is text. Demonstrations of video, music, or 3D creation rely on external tools and generated code.
- Thinking mode forces
temperature=1.0andtop_p=0.95. Multi-turn tool conversations must preserve historicalreasoning_content; missing it can cause HTTP 400 errors. - Chat Completions supports only
tool_choice=auto; other values are discarded and treated as automatic selection.
Standard Pricing
The token prices below are shown in USD per 1 million tokens; web search is billed in USD per use.
| Model | Input (USD / 1M Tokens) | Cache Write (USD / 1M Tokens) | Cache Read (USD / 1M Tokens) | Output (USD / 1M Tokens) | Web Search (USD / use) |
|---|---|---|---|---|---|
| MiMo-V2.6-Pro | $0.435 | $0.435 | $0.0036 | $0.87 | - |
Credits settlement: B.AI converts charges at 1 USD = 1,000,000 Credits and deducts Credits from the account balance.
Prices shown in the documentation are B.AI standard reference prices for base billing purposes. B.AI may provide lower actual usage costs through top-up bonuses and account benefits. Specific prices, bonus Credits, and account benefits are subject to the platform display and final billing records.