Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 8.6% higher average benchmark score. DeepSeek-V3 offers 245.8K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $0.95 cheaper per million tokens. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V2.5
DeepSeek-V3
Context window and performance specifications
Average performance across 32 common benchmarks
DeepSeek-V2.5
DeepSeek-V3
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
DeepSeek-V3
DeepSeek-V2.5
DeepSeek-V3
DeepSeek-V3
DeepSeek