Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 4.5% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Mistral Large 2. DeepSeek-V3 is $6.63 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
Mistral AI
Mistral Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
5 months newer

Mistral Large 2
Mistral AI
2024-07-24

DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)

DeepSeek-V3

Mistral Large 2
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek-V3

Mistral Large 2
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Mistral Large 2

DeepSeek-V3

Mistral Large 2

DeepSeek-V3

Mistral Large 2
Mistral AI