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 1 of 185 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 (#84). 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
#84Chatbot 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 1 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 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.
Does MiMo-V2-Pro have full benchmark coverage on BenchLM?
Not yet. MiMo-V2-Pro currently has 1 published benchmark scores out of the 185 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.
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