Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 10.3% higher average benchmark score. DeepSeek-V3 offers 3.6K more tokens in context window than DeepSeek VL2. DeepSeek-V3 is $4808.13 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
12 days newer
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek VL2
DeepSeek-V3
Context window and performance specifications
Average performance across 34 common benchmarks
DeepSeek VL2
DeepSeek-V3
Available providers and their performance metrics
DeepSeek VL2
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DeepSeek VL2
DeepSeek-V3
DeepSeek VL2
DeepSeek-V3
DeepSeek