Model profile
MiMo-V2-Pro
Evidence coverage
15 of 323 tracked benchmarks are published. 3 are verified and 12 provisional. 5 of 8 categories are measured.
- Published / tracked
- 15 / 323
- Verified
- 3
- Provisional
- 12
- Categories with evidence
- 5 / 8
Evidence by category
- Agentic4 benchmarksMixed evidence
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following1 benchmarkReported
MiMo-V2-Pro ranks #17 out of 200 models on the public leaderboard with an overall score of 67.78/100. It also ranks #15 out of 99 on the verified leaderboard. This places it in the mid-tier of AI models, with strengths in specific benchmark categories.
MiMo-V2-Pro is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 15 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#17). This performance profile makes it particularly well-suited for software development and code generation tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 67.01–67.78
- MiMo-V2-ProCurrent modelXiaomi#1767.78MiMo-V2-Pro is #17 with a score of 67.78.
- GLM-5.1Z.AICompare#1867.74GLM-5.1 is #18 with a score of 67.74.
- Gemini 3 ProGoogleCompare#1967.73Gemini 3 Pro is #19 with a score of 67.73.
- InklingThinking Machines LabCompare#2067.54Inkling is #20 with a score of 67.54.
- Qwen3.7 PlusAlibabaCompare#2167.22Qwen3.7 Plus is #21 with a score of 67.22.
- GPT-5.6 LunaOpenAICompare#2267.17GPT-5.6 Luna is #22 with a score of 67.17.
- GPT-5.2 ProOpenAICompare#2367.01GPT-5.2 Pro is #23 with a score of 67.01.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Coding87%Eligible cohort rank #17 of 122Category score 62.6
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%4 benchmarksMixed sources | 86.7 | Not ranked | Not available | 22% | 4 benchmarks | Mixed sources |
| CodingRank #17 of 122Percentile 87thWeight 20%2 benchmarksReported | 62.6 | #17 of 122 | 87th | 20% | 2 benchmarks | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 87.0 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 68.5 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1448 | ±4.8 | 24,478 |
| Coding | 1503 | ±7.8 | 6,957 |
| Math | 1451 | ±14.8 | 1,622 |
| Instruction Following | 1445 | ±7.3 | 7,980 |
| Creative Writing | 1425 | ±10.5 | 3,569 |
| Multi-turn | 1470 | ±9.5 | 4,436 |
| Hard Prompts | 1476 | ±5.8 | 15,743 |
| Hard Prompts (English) | 1490 | ±7.5 | 7,523 |
| Longer Query | 1467 | ±7.1 | 9,413 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic4 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Gert Labs Composite Game Benchmark
Coding2 benchmarks
Software Engineering Benchmark Verified
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does MiMo-V2-Pro perform overall in AI benchmarks?
MiMo-V2-Pro has 15 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is MiMo-V2-Pro good for knowledge and understanding?
MiMo-V2-Pro has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is MiMo-V2-Pro good for coding and programming?
MiMo-V2-Pro ranks #17 out of 122 models in coding and programming benchmarks with an average score of 62.6. There are stronger options in this category.
Is MiMo-V2-Pro good for reasoning and logic?
MiMo-V2-Pro has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is MiMo-V2-Pro good for agentic tool use and computer tasks?
MiMo-V2-Pro has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is MiMo-V2-Pro good for instruction following?
MiMo-V2-Pro has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Does MiMo-V2-Pro have full benchmark coverage on BenchLM?
Not yet. MiMo-V2-Pro currently has 15 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of MiMo-V2-Pro?
MiMo-V2-Pro has a published context window of 1M, which determines how much text it can process in a single interaction.
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