Model profile
MiMo-V2.5-Pro
Evidence coverage
31 of 323 tracked benchmarks are published. 9 are verified and 22 provisional. 6 of 8 categories are measured.
- Published / tracked
- 31 / 323
- Verified
- 9
- Provisional
- 22
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic14 benchmarksMixed evidence
- Coding4 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge9 benchmarksMixed evidence
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal1 benchmarkReported
- Inst. Following1 benchmarkReported
MiMo-V2.5-Pro ranks #14 out of 200 models on the public leaderboard with an overall score of 70.19/100. It also ranks #12 out of 99 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
MiMo-V2.5-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.
MiMo-V2.5-Pro sits inside the MiMo-V2.5 family alongside MiMo-V2.5. BenchLM links it directly to MiMo-V2-Pro as the earlier related model in that lineage. This profile currently has 31 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 Knowledge (#19), while its weakest is Agentic (#87). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
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 67.78–72.57
- GPT-5.6 TerraOpenAICompare#1172.57GPT-5.6 Terra is #11 with a score of 72.57.
- Claude Opus 4.7AnthropicCompare#1271.94Claude Opus 4.7 is #12 with a score of 71.94.
- Muse SparkMetaCompare#1371.04Muse Spark is #13 with a score of 71.04.
- MiMo-V2.5-ProCurrent modelXiaomi#1470.19MiMo-V2.5-Pro is #14 with a score of 70.19.
- MiniMax M3MiniMaxCompare#1569.75MiniMax M3 is #15 with a score of 69.75.
- Claude Opus 4.6AnthropicCompare#1668.59Claude Opus 4.6 is #16 with a score of 68.59.
- MiMo-V2-ProXiaomiCompare#1767.78MiMo-V2-Pro is #17 with a score of 67.78.
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.
- Knowledge65%Eligible cohort rank #19 of 52Category score 74.8
- Coding74%Eligible cohort rank #32 of 122Category score 56.6
- Agentic27%Eligible cohort rank #87 of 119Category score 42.4
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 #87 of 119Percentile 27thWeight 22%14 benchmarksMixed sources | 42.4 | #87 of 119 | 27th | 22% | 14 benchmarks | Mixed sources |
| CodingRank #32 of 122Percentile 74thWeight 20%4 benchmarksMixed sources | 56.6 | #32 of 122 | 74th | 20% | 4 benchmarks | Mixed sources |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank #19 of 52Percentile 65thWeight 12%9 benchmarksMixed sources | 74.8 | #19 of 52 | 65th | 12% | 9 benchmarks | Mixed sources |
| 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%1 benchmarkReported | Score pending | Not ranked | Not available | 12% | 1 benchmark | Reported |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | 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 | 1466 | ±4.5 | 41,409 |
| Coding | 1519 | ±7.1 | 11,355 |
| Math | 1475 | ±13.5 | 2,036 |
| Instruction Following | 1470 | ±6.6 | 13,488 |
| Creative Writing | 1433 | ±8.3 | 6,880 |
| Multi-turn | 1477 | ±8.1 | 7,347 |
| Hard Prompts | 1495 | ±5.3 | 26,993 |
| Hard Prompts (English) | 1506 | ±6.7 | 12,804 |
| Longer Query | 1487 | ±6.3 | 17,664 |
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.
Agentic14 benchmarks
τ³-Bench Tool-Agent-User Evaluation
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Gert Labs Composite Game Benchmark
Artificial Analysis Briefcase
Artificial Analysis ITBench-AA
Artificial Analysis Harvey LAB-AA
Coding4 benchmarks
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge9 benchmarks
Humanity's Last Exam
Humanity's Last Exam without tools
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Artificial Analysis Openness Index
Multimodal1 benchmark
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does MiMo-V2.5-Pro perform overall in AI benchmarks?
MiMo-V2.5-Pro has 31 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is MiMo-V2.5-Pro good for knowledge and understanding?
MiMo-V2.5-Pro ranks #19 out of 52 models in knowledge and understanding benchmarks with an average score of 74.8. There are stronger options in this category.
Is MiMo-V2.5-Pro good for coding and programming?
MiMo-V2.5-Pro ranks #32 out of 122 models in coding and programming benchmarks with an average score of 56.6. There are stronger options in this category.
Is MiMo-V2.5-Pro good for reasoning and logic?
MiMo-V2.5-Pro has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is MiMo-V2.5-Pro good for agentic tool use and computer tasks?
MiMo-V2.5-Pro ranks #87 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 42.4. There are stronger options in this category.
Is MiMo-V2.5-Pro good for multimodal and grounded tasks?
MiMo-V2.5-Pro has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is MiMo-V2.5-Pro good for instruction following?
MiMo-V2.5-Pro has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Which sibling models are related to MiMo-V2.5-Pro?
MiMo-V2.5-Pro belongs to the MiMo-V2.5 family. Related variants on BenchLM include MiMo-V2.5.
Does MiMo-V2.5-Pro have full benchmark coverage on BenchLM?
Not yet. MiMo-V2.5-Pro currently has 31 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-V2.5-Pro?
MiMo-V2.5-Pro has a published context window of 1M, which determines how much text it can process in a single interaction.
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