MiMo-V2-Pro
BenchLM is tracking MiMo-V2-Pro, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
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 19 of 225 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 Instruction Following (#78). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 4 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
#78Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how MiMo-V2-Pro stacks up against similar models
Frequently Asked Questions
How does MiMo-V2-Pro perform overall in AI benchmarks?
MiMo-V2-Pro has 19 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 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
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 ranks #78 out of 119 models in instruction following benchmarks with an average score of 52.5. There are stronger options in this category.
Does MiMo-V2-Pro have full benchmark coverage on BenchLM?
Not yet. MiMo-V2-Pro currently has 19 published benchmark scores out of the 225 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 context window of 1M, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.