Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 37.7% 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. 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
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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 24 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