MiMo-V2-Flash
According to BenchLM.ai, MiMo-V2-Flash ranks #50 out of 119 models on the provisional leaderboard with an overall score of 59/100. 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 20 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 Mathematics (#20), while its weakest is Instruction Following (#61). 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
#33Coding
#39Reasoning
#43Knowledge
#45Math
#20Multilingual
#52Multimodal
#31Inst. Following
#61Chatbot 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 #50 out of 119 models on BenchLM's provisional leaderboard with an overall score of 59 (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 #45 out of 119 models in knowledge and understanding benchmarks with an average score of 63.4. There are stronger options in this category.
Is MiMo-V2-Flash good for coding and programming?
MiMo-V2-Flash ranks #39 out of 119 models in coding and programming benchmarks with an average score of 69.2. There are stronger options in this category.
Is MiMo-V2-Flash good for mathematics?
MiMo-V2-Flash ranks #20 out of 119 models in mathematics benchmarks with an average score of 82.1. There are stronger options in this category.
Is MiMo-V2-Flash good for reasoning and logic?
MiMo-V2-Flash ranks #43 out of 119 models in reasoning and logic benchmarks with an average score of 55.4. There are stronger options in this category.
Is MiMo-V2-Flash good for agentic tool use and computer tasks?
MiMo-V2-Flash ranks #33 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 58.3. There are stronger options in this category.
Is MiMo-V2-Flash good for instruction following?
MiMo-V2-Flash ranks #61 out of 119 models in instruction following benchmarks with an average score of 62.3. 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 20 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-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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