Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.
Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek VL2 Tiny
Llama 3.2 11B Instruct
Average performance across 5 common benchmarks
DeepSeek VL2 Tiny
Llama 3.2 11B Instruct
Performance comparison across key benchmark categories
DeepSeek VL2 Tiny
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek VL2 Tiny
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
DeepSeek VL2 Tiny
Llama 3.2 11B Instruct