Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 62.6% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $4809.10 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
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
DeepSeek VL2
Devstral Small 1.1
Context window and performance specifications
Average performance across 15 common benchmarks
DeepSeek VL2
Devstral Small 1.1
Available providers and their performance metrics
DeepSeek VL2
Replicate
Devstral Small 1.1
DeepSeek VL2
Devstral Small 1.1
DeepSeek VL2
Devstral Small 1.1
Mistral AI