Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 22.9% higher average benchmark score. Pixtral Large offers 239.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $7.58 cheaper per million tokens. Pixtral Large supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 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.
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.
6 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
DeepSeek-V2.5
Pixtral Large
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek-V2.5
Pixtral Large
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Pixtral Large
DeepSeek-V2.5
Pixtral Large
Pixtral Large
Mistral AI