Xiaomi model product
MiMo-V2.5-Pro is Xiaomi's 1.02T-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.
Updated Aug 10, 2026. Default version: MiMo-V2.5-Pro
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version MiMo-V2.5-Pro.
| ARC-C | 1.0 | 1 | 34 | 100.0% | C | |
| CMMLU | 0.9 | 1 | 6 | 100.0% | C | |
| FrontierSWE (Impl.) | 3.4 | 1 | 1 | 100.0% | C | |
| Global-MMLU | 0.8 | 1 | 5 | 100.0% | C | |
| GSM8k | 1.0 | 1 | 48 | 100.0% | C | |
| MiMo Coding Bench | 0.7 | 1 | 2 | 100.0% | C | |
| TAU3-Bench | 0.7 | 1 | 5 | 100.0% | C | |
| AIME | 0.4 | 2 | 2 | 0.0% | C | |
| BBH | 0.9 | 2 | 12 | 90.9% | C | |
| SWE-bench Verified (Agentless) | 0.4 | 2 | 2 | 0.0% | C | |
| Winogrande | 0.9 | 2 | 22 | 95.2% | C | |
| GraphWalks | 0.6 | 3 | 3 | 0.0% | C | |
| TriviaQA | 0.8 | 3 | 18 | 88.2% | C | |
| DROP | 0.9 | 4 | 30 | 89.7% | C | |
| HellaSwag | 0.9 | 4 | 27 | 88.5% | C | |
| WildClawBench | 0.4 | 4 | 4 | 0.0% | C | |
| C-Eval | 0.9 | 5 | 18 | 76.5% | C | |
| Claw-Eval | 0.6 | 6 | 13 | 58.3% | C | |
| MATH | 0.9 | 11 | 71 | 85.7% | C | |
| Terminal-Bench 2.0 | 0.7 | 13 | 49 | 75.0% | C | |
| Finance Agent v2 | 0.4 | 15 | 26 | 44.0% | B | |
| MMLU | 0.9 | 15 | 100 | 85.9% | C | |
| MMLU-Redux | 0.9 | 15 | 48 | 70.2% | C | |
| SWE-Bench Verified | 0.8 | 17 | 104 | 84.5% | C | |
| MBPP+ | 0.7 | 20 | 37 | 47.2% | C | |
| SWE-Bench Pro | 0.6 | 23 | 44 | 48.8% | C | |
| Humanity's Last Exam | 0.3 | 42 | 92 | 55.0% | C | |
| LiveCodeBench v6 | 0.4 | 50 | 53 | 5.8% | C | |
| HumanEval+ | 0.8 | 55 | 76 | 28.0% | C | |
| MMLU-Pro | 0.7 | 90 | 129 | 30.5% | C | |
| GPQA | 0.7 | 140 | 233 | 40.1% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | hard prompts english | 9 | 1497.6 | 14,399 | N/A | |
| text factuality | polish | 9 | 1464.5 | 547 | N/A | |
| text factuality | french | 10 | 1505.8 | 1,407 | N/A | |
| text factuality | hard prompts english | 10 | 1511.3 | 13,834 | N/A | |
| text factuality | korean | 11 | 1415.3 | 444 | N/A | |
| text | coding | 12 | 1499.2 | 13,199 | N/A | |
| text factuality | german | 12 | 1430.2 | 361 | N/A | |
| text | hard prompts | 13 | 1486.8 | 31,289 | N/A | |
| text | english | 14 | 1479.5 | 20,949 | N/A | |
| text | expert | 14 | 1502.1 | 4,343 | N/A | |
| text | instruction following | 14 | 1476.5 | 15,643 | N/A | |
| text factuality | industry mathematical | 14 | 1478.2 | 1,989 | N/A | |
| text | industry software and it services | 15 | 1492.8 | 19,058 | N/A | |
| text factuality | math | 15 | 1475.2 | 1,837 | N/A | |
| text style control | hard prompts english | 15 | 1505.0 | 14,399 | N/A | |
| text | industry mathematical | 16 | 1491.0 | 2,514 | N/A | |
| text | longer query | 16 | 1480.7 | 20,599 | N/A | |
| text factuality | english | 16 | 1481.7 | 20,900 | N/A | |
| text factuality | expert | 16 | 1506.6 | 3,586 | N/A | |
| text | industry business and management and financial operations | 17 | 1467.1 | 9,442 | N/A | |
| text factuality | coding | 17 | 1525.2 | 12,596 | N/A | |
| text factuality | industry medicine and healthcare | 17 | 1498.4 | 2,648 | N/A | |
| text factuality | spanish | 17 | 1457.0 | 1,050 | N/A | |
| text | french | 18 | 1488.2 | 1,833 | N/A | |
| text factuality | industry business and management and financial operations | 19 | 1476.1 | 8,353 | N/A | |
| text style control | industry mathematical | 19 | 1492.7 | 2,514 | N/A | |
| text factuality | chinese | 20 | 1513.2 | 2,052 | N/A | |
| text factuality | industry software and it services | 20 | 1508.1 | 18,768 | N/A | |
| text factuality | multi turn | 20 | 1479.4 | 7,271 | N/A | |
| text style control | expert | 20 | 1507.6 | 4,343 | N/A | |
| text | math | 21 | 1476.5 | 2,316 | N/A | |
| text factuality | industry legal and government | 21 | 1492.2 | 3,046 | N/A | |
| text | industry medicine and healthcare | 22 | 1473.2 | 3,387 | N/A | |
| text | polish | 22 | 1467.4 | 919 | N/A | |
| text factuality | hard prompts | 22 | 1494.0 | 31,227 | N/A | |
| text factuality | instruction following | 22 | 1474.3 | 15,044 | N/A | |
| text style control | english | 22 | 1482.2 | 20,949 | N/A | |
| text style control | longer query | 22 | 1485.9 | 20,599 | N/A | |
| text | industry legal and government | 23 | 1476.7 | 3,809 | N/A | |
| text | industry life and physical and social science | 23 | 1481.3 | 7,685 | N/A | |
| text | spanish | 23 | 1463.8 | 1,432 | N/A | |
| text style control | instruction following | 23 | 1469.9 | 15,643 | N/A | |
| text style control | french | 24 | 1491.7 | 1,833 | N/A | |
| text factuality | industry life and physical and social science | 25 | 1489.8 | 6,650 | N/A | |
| text style control | industry life and physical and social science | 25 | 1490.0 | 7,685 | N/A | |
| text | multi turn | 26 | 1472.2 | 8,453 | N/A | |
| text factuality | longer query | 26 | 1484.4 | 20,050 | N/A | |
| text style control | hard prompts | 26 | 1495.5 | 31,289 | N/A | |
| text | overall | 27 | 1464.0 | 47,805 | N/A | |
| text | exclude ties | 27 | 1465.5 | 36,470 | N/A | |
| text | korean | 27 | 1425.5 | 873 | N/A | |
| text factuality | japanese | 27 | 1410.8 | 411 | N/A | |
| text style control | industry business and management and financial operations | 27 | 1472.1 | 9,442 | N/A | |
| text style control | industry software and it services | 27 | 1507.3 | 19,058 | N/A | |
| text | industry entertainment and sports and media | 28 | 1438.8 | 10,502 | N/A | |
| text factuality | exclude ties | 28 | 1468.9 | 36,402 | N/A | |
| text factuality | industry entertainment and sports and media | 28 | 1441.1 | 9,748 | N/A | |
| text style control | coding | 28 | 1518.9 | 13,199 | N/A | |
| text | industry writing and literature and language | 29 | 1450.8 | 11,867 | N/A | |
| text factuality | overall | 29 | 1464.4 | 47,721 | N/A | |
| text factuality | industry writing and literature and language | 29 | 1452.4 | 11,159 | N/A | |
| text style control | math | 29 | 1476.2 | 2,316 | N/A | |
| text style control | industry medicine and healthcare | 30 | 1486.8 | 3,387 | N/A | |
| text style control | polish | 30 | 1471.8 | 919 | N/A | |
| text style control | industry legal and government | 32 | 1477.1 | 3,809 | N/A | |
| text style control | korean | 32 | 1428.9 | 873 | N/A | |
| text | non english | 34 | 1445.4 | 26,856 | N/A | |
| text factuality | non english | 34 | 1445.2 | 26,810 | N/A | |
| text style control | chinese | 34 | 1512.8 | 2,545 | N/A | |
| webdev | overall | 35 | 1474.3 | 11,953 | N/A | |
| webdev | webdev | 35 | 1474.3 | 11,953 | N/A | |
| webdev | webdev-html | 35 | 1485.7 | 1,357 | N/A | |
| text | chinese | 36 | 1504.0 | 2,545 | N/A | |
| webdev | webdev-react | 36 | 1462.5 | 9,577 | N/A | |
| text style control | multi turn | 37 | 1476.8 | 8,453 | N/A | |
| text style control | overall | 39 | 1467.0 | 47,805 | N/A | |
| text | german | 40 | 1449.5 | 821 | N/A | |
| text | russian | 40 | 1451.4 | 5,280 | N/A | |
| text factuality | russian | 40 | 1460.7 | 4,265 | N/A | |
| text style control | industry entertainment and sports and media | 40 | 1438.1 | 10,502 | N/A | |
| text style control | exclude ties | 41 | 1472.0 | 36,470 | N/A | |
| text | creative writing | 42 | 1435.3 | 8,133 | N/A | |
| text factuality | creative writing | 43 | 1438.5 | 7,060 | N/A | |
| text style control | industry writing and literature and language | 43 | 1449.9 | 11,867 | N/A | |
| text style control | german | 45 | 1458.7 | 821 | N/A | |
| text style control | non english | 45 | 1448.2 | 26,856 | N/A | |
| text | japanese | 46 | 1411.4 | 535 | N/A | |
| text style control | russian | 47 | 1459.8 | 5,280 | N/A | |
| text style control | spanish | 47 | 1454.0 | 1,432 | N/A | |
| text style control | japanese | 49 | 1422.8 | 535 | N/A | |
| text style control | creative writing | 53 | 1432.0 | 8,133 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| 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 | |
| OpenCode Go | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| LLM Gateway | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M | |
| Xiaomi | mimo-v2.5-pro | global | $0.435 | $0.87 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| MiMo-V2.5-Pro | 68.9 | 1T | 1M | 131.1K | Yes | MIT |
A concise description based on the published model registry.
MiMo-V2.5-Pro is Xiaomi's 1.02T-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.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
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 published 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 is published under Xiaomi in the model registry.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
8 published provider offerings are linked to the default version.
Nearby ranked alternatives include DeepSeek-V2.5, Claude Opus 4.6, GPT-5.2.