Benchmark analysis of DeepSeekMath V2 by DeepSeek across 14 tests.
Creator
DeepSeek
Source Type
Open WeightReasoning
ReasoningContext Window
128K
Overall Score
DeepSeekMath V2 ranks #36 out of 88 models with an overall score of 64. It is created by DeepSeek and features a 128K context window.
DeepSeekMath V2 ranks #36 out of 88 models in knowledge and understanding benchmarks with an average score of 77.8. There are stronger options in this category.
DeepSeekMath V2 ranks #37 out of 88 models in coding and programming benchmarks with an average score of 72. There are stronger options in this category.
DeepSeekMath V2 ranks #37 out of 88 models in mathematics benchmarks with an average score of 79. There are stronger options in this category.
DeepSeekMath V2 ranks #37 out of 88 models in reasoning and logic benchmarks with an average score of 76. There are stronger options in this category.
Yes, DeepSeekMath V2 is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
DeepSeekMath V2 has a context window of 128K tokens, which determines how much text it can process in a single interaction.