Xiaomi model product
02T-parameter sparse Mixture-of-Experts language model with 42B active parameters and a 1M-token context window.
Updated Aug 12, 2026. Default version: MiMo-V2.5-Pro
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiMo-V2.5-Pro.
| ARC-C | 97.2% | 01 | 34 | 100.0% | C | |
| CMMLU | 90.2% | 01 | 6 | 100.0% | C | |
| FrontierSWE (Impl.) | 3.4 rank | 01 | 1 | 100.0% | C | |
| Global-MMLU | 83.6% | 01 | 5 | 100.0% | C | |
| GSM8k | 99.6% | 01 | 48 | 100.0% | C | |
| MBPP+ | 74.1% | 01 | 4 | 100.0% | C | |
| MiMo Coding Bench | 73.7% | 01 | 2 | 100.0% | C | |
| TAU3-Bench | 72.9% | 01 | 5 | 100.0% | C | |
| AIME | 37.3% | 02 | 2 | 0.0% | C | |
| BBH | 88.4% | 02 | 12 | 90.9% | C | |
| SWE-bench Verified (Agentless) | 35.7% | 02 | 2 | 0.0% | C | |
| Winogrande | 85.6% | 02 | 22 | 95.2% | C | |
| GraphWalks | 62.0% | 03 | 3 | 0.0% | C | |
| TriviaQA | 81.3% | 03 | 18 | 88.2% | C | |
| DROP | 86.3% | 04 | 30 | 89.7% | C | |
| HellaSwag | 89.8% | 04 | 27 | 88.5% | C | |
| C-Eval | 91.5% | 05 | 18 | 76.5% | C | |
| WildClawBench | 43.0% | 05 | 5 | 0.0% | C | |
| Claw-Eval | 64.0% | 06 | 13 | 58.3% | C | |
| HumanEval+ | 75.6% | 07 | 10 | 33.3% | C | |
| MATH | 86.2% | 11 | 71 | 85.7% | C | |
| Terminal-Bench 2.0 | 68.4% | 13 | 49 | 75.0% | C | |
| Finance Agent v2 | 41.5% | 15 | 26 | 44.0% | B | |
| MMLU | 89.4% | 15 | 100 | 85.9% | C | |
| MMLU-Redux | 92.8% | 15 | 48 | 70.2% | C | |
| SWE-Bench Verified | 78.9% | 17 | 105 | 84.6% | C | |
| SWE-Bench Pro | 57.2% | 23 | 45 | 50.0% | C | |
| Humanity's Last Exam | 34.0% | 42 | 93 | 55.4% | C | |
| LiveCodeBench v6 | 39.6% | 50 | 53 | 5.8% | C | |
| MMLU-Pro | 68.5% | 90 | 129 | 30.5% | C | |
| GPQA | 66.7% | 141 | 234 | 39.9% | C |
Preference and agent-evaluation results for the default version.
| text | overall | 25 | 1464.7 | 50,109 | N/A | |
| text factuality | overall | 28 | 1465.0 | 50,023 | N/A | |
| agent bash recovery steps | overall | 30 | 0.0 | N/A | 31.7K | |
| agent steerability | overall | 30 | -0.0 | N/A | 27.7K | |
| agent | overall | 32 | -0.0 | N/A | 1.1M | |
| agent praise complaint | overall | 34 | -0.1 | N/A | 6.5K | |
| agent task outcome explicit | overall | 35 | -0.0 | N/A | 17.2K | |
| webdev | overall | 35 | 1474.5 | 12,927 | N/A | |
| text style control | overall | 37 | 1467.5 | 50,109 | N/A | |
| agent tool hallucination | overall | 38 | -0.0 | N/A | 1M |
Provider-specific output speed and catalog latency for MiMo-V2.5-Pro. Runtime does not affect the capability score.
| DeepInfra | 195.755 tok/s | 0.625 s | 1M | 131.1K | |
| Xiaomi | 135.012 tok/s | 2.61 s | 1M | 131.1K | |
| Novita | 130.693 tok/s | 2.845 s | 1M | 131.1K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Kenari | mimo-v2-5-pro | global | N/A | N/A | 1M | |
| Xiaomi Token Plan (China) | mimo-v2.5-pro | global | N/A | N/A | 1M | |
| Xiaomi Token Plan (Europe) | mimo-v2.5-pro | global | N/A | N/A | 1M | |
| Xiaomi Token Plan (Singapore) | mimo-v2.5-pro | global | N/A | N/A | 1M | |
| CrofAI | mimo-v2.5-pro | global | $0.40 | $0.80 | 1M | |
| DigitalOcean | mimo-v2.5-pro | global | $0.40 | $1.5 | 262.1K | |
| Kilo Gateway | xiaomi/mimo-v2.5-pro | global | $0.40 | $1.5 | 1M | |
| OpenCode Go | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| NanoGPT | xiaomi/mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| LLM Gateway | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| Pioneer | XiaomiMiMo/MiMo-V2.5-Pro | global | $0.435 | $0.87 | 1.1M | |
| Vercel AI Gateway | xiaomi/mimo-v2.5-pro | global | $0.435 | $0.87 | 1.1M | |
| OpenRouter | xiaomi/mimo-v2.5-pro | global | $0.435 | $0.87 | 1.1M | |
| Xiaomi | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| CrossModel | xiaomi/mimo-v2.5-pro | global | $0.47 | $0.94 | 1M | |
| NovitaAI | xiaomimimo/mimo-v2.5-pro | global | $0.522 | $1.04 | 1M | |
| Vultr | XiaomiMiMo/MiMo-V2.5-Pro | global | $0.55 | $1.65 | 1M | |
| ZenMux | xiaomi/mimo-v2.5-pro | global | $1 | $3 | 1M | |
| Hugging Face | XiaomiMiMo/MiMo-V2.5-Pro | global | $1 | $3 | 1M | |
| Deep Infra | XiaomiMiMo/MiMo-V2.5-Pro | global | $1 | $3 | 1M | |
| ClinePass | cline-pass/mimo-v2.5-pro | global | $1.74 | $3.48 | 1M | |
| EmpirioLabs AI | mimo-v2-5-pro | global | $2.18 | $4.35 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| MiMo-V2.5-Pro | 46.7 | 1T | 1M | 131.1K | Yes | MIT |
Key information about MiMo V2.5 Pro and its available data.
02T-parameter sparse Mixture-of-Experts language model with 42B active parameters and a 1M-token context window.
It inherits the MiMo-V2-Flash hybrid-attention and Multi-Token Prediction design, extends context during pre-training up to 1M tokens, and uses supervised fine-tuning, domain-specialized reinforcement learning, and Multi-Teacher On-Policy Distillation to improve complex software engineering, long-horizon agentic tasks, and ultra-long-context coherence.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about MiMo V2.5 Pro.
MiMo V2.5 Pro's default version was released on Apr 27, 2026.
MiMo V2.5 Pro's official API price is $0.435 per million input tokens and $0.87 per million output tokens via Xiaomi. The lowest tracked third-party offer starts at $0.40 input and $0.80 output via CrofAI.
MiMo V2.5 Pro was created by Xiaomi.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
22 provider offerings are linked to the default version.
Nearby ranked alternatives include GPT-5.4-nano, Qwen3 235B A22B Thinking, Grok 3 Mini.