MiMo-V2-Flash
According to BenchLM.ai, MiMo-V2-Flash ranks #43 out of 110 models on the provisional leaderboard with an overall score of 62/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
MiMo-V2-Flash is a open weight model with a 256K 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 4 of 152 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 Mathematics (#22), while its weakest is Instruction Following (#54). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#29Coding
#28Reasoning
#44Knowledge
#40Math
#22Multilingual
#50Multimodal
#39Inst. Following
#54Chatbot 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.
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See how MiMo-V2-Flash stacks up against similar models
Frequently Asked Questions
How does MiMo-V2-Flash perform overall in AI benchmarks?
MiMo-V2-Flash currently ranks #43 out of 110 models on BenchLM's provisional leaderboard with an overall score of 62 (estimated). It is created by Xiaomi and features a 256K context window.
Is MiMo-V2-Flash good for knowledge and understanding?
MiMo-V2-Flash ranks #40 out of 110 models in knowledge and understanding benchmarks with an average score of 64.6. There are stronger options in this category.
Is MiMo-V2-Flash good for coding and programming?
MiMo-V2-Flash ranks #28 out of 110 models in coding and programming benchmarks with an average score of 72.4. There are stronger options in this category.
Is MiMo-V2-Flash good for mathematics?
MiMo-V2-Flash ranks #22 out of 110 models in mathematics benchmarks with an average score of 82.1. There are stronger options in this category.
Is MiMo-V2-Flash open source?
Yes, MiMo-V2-Flash is an open weight model created by Xiaomi, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does MiMo-V2-Flash have full benchmark coverage on BenchLM?
Not yet. MiMo-V2-Flash currently has 4 published benchmark scores out of the 152 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-Flash?
MiMo-V2-Flash has a context window of 256K, which determines how much text it can process in a single interaction.
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