Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 21.7% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $4809.20 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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 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.
4 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek VL2
Mistral NeMo Instruct
Available providers and their performance metrics
DeepSeek VL2
Replicate
Mistral NeMo Instruct
DeepSeek VL2
Mistral NeMo Instruct
DeepSeek VL2
Mistral NeMo Instruct
Mistral AI