Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 18.7% higher average benchmark score. Mistral NeMo Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
1 year newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek-V3.2-Exp
Mistral NeMo Instruct
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Mistral NeMo Instruct
DeepSeek-V3.2-Exp
Mistral NeMo Instruct
DeepSeek-V3.2-Exp
Mistral NeMo Instruct
Mistral AI