MiMo-V2.5
Xiaomi MiMo-V2.5 is an open-source Xiaomi language model for agentic coding, long-horizon tasks, and 1M-token context with MoE and hybrid attention.
Model Overview
Capabilities, design details, and architectural traits
MiMo-V2.5 - open-source agentic coding model
MiMo-V2.5 is built around long, structured work. It is presented as an open-source model for agentic coding and other long-horizon tasks that need sustained context.
| Differentiator | Documented trait |
|---|---|
| 1M-token context | Supports up to 1M tokens of context. |
| Hybrid attention + MTP | Uses hybrid attention and Multi-Token Prediction from the MiMo-V2-Flash design. |
| Open-source release | The MiMo-V2.5 series is open-sourced under the MIT license. |
Work pattern
The model is aimed at tasks that stay active across long spans of text and tool use. The documented focus is on agentic coding and long-horizon execution rather than a short chat exchange.
Series identity
MiMo-V2.5 belongs to a family that includes Pro, Omni, Flash, and TTS variants. The series is routed through Xiaomi MiMo with unified model naming across products.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Xiaomi | Anthropic | Anthropic |
| Release Date | April 22, 2026 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | - | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 1.0M Best Context Window | 1M | 1M |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.14 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.28 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textaudioimagevideo | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 25.2 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 56.8 | - | - |
| Agentic Index | 15.8 | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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