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.

Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct
Alibaba
2024-09-19

DeepSeek VL2 Tiny
DeepSeek
2024-12-13
2 months newer
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

Qwen2.5-Coder 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

Qwen2.5-Coder 7B Instruct

DeepSeek VL2 Tiny

Qwen2.5-Coder 7B Instruct