Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 17.5% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $0.97 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 24 common benchmarks
DeepSeek-V3.1
Mistral NeMo Instruct
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Mistral NeMo Instruct
DeepSeek-V3.1
Mistral NeMo Instruct
DeepSeek-V3.1
Mistral NeMo Instruct
Mistral AI