Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek VL2
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%). The model shows particular specialization in vision tasks with an average performance of 76.7%. 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 Small 3.2 24B Instruct
Mistral AI
Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.

DeepSeek VL2
DeepSeek
2024-12-13

Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
6 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2

Mistral Small 3.2 24B Instruct
Average performance across 5 common benchmarks

DeepSeek VL2

Mistral Small 3.2 24B Instruct
Performance comparison across key benchmark categories

DeepSeek VL2

Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

Mistral Small 3.2 24B Instruct

DeepSeek VL2

Mistral Small 3.2 24B Instruct