Benchmark analysis of DeepSeek V3.1 by DeepSeek across 14 tests.
Creator
DeepSeek
Source Type
Open WeightReasoning
Non-ReasoningContext Window
128K
Overall Score
DeepSeek V3.1 ranks #84 out of 88 models with an overall score of 24. It is created by DeepSeek and features a 128K context window.
DeepSeek V3.1 ranks #84 out of 88 models in knowledge and understanding benchmarks with an average score of 30.8. There are stronger options in this category.
DeepSeek V3.1 ranks #84 out of 88 models in coding and programming benchmarks with an average score of 25. There are stronger options in this category.
DeepSeek V3.1 ranks #84 out of 88 models in mathematics benchmarks with an average score of 32. There are stronger options in this category.
DeepSeek V3.1 ranks #84 out of 88 models in reasoning and logic benchmarks with an average score of 30. There are stronger options in this category.
Yes, DeepSeek V3.1 is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
DeepSeek V3.1 has a context window of 128K tokens, which determines how much text it can process in a single interaction.