Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 51.9% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
26 days newer
DeepSeek-V3
DeepSeek
2024-12-25
DeepSeek R1 Zero
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek R1 Zero
DeepSeek-V3
Available providers and their performance metrics
DeepSeek R1 Zero
DeepSeek-V3
DeepSeek
DeepSeek R1 Zero
DeepSeek-V3
DeepSeek R1 Zero
DeepSeek-V3