Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 28.9% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Pixtral Large. DeepSeek-V3 is $6.63 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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.
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
1 month newer
Pixtral Large
Mistral AI
2024-11-18
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V3
Pixtral Large
Context window and performance specifications
Average performance across 27 common benchmarks
DeepSeek-V3
Pixtral Large
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Pixtral Large
DeepSeek-V3
Pixtral Large
DeepSeek-V3
Pixtral Large
Mistral AI