Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 2.7% higher average benchmark score. DeepSeek VL2 offers 119.3K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $4808.90 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek VL2
Qwen2.5 7B Instruct
Available providers and their performance metrics
DeepSeek VL2
Replicate
Qwen2.5 7B Instruct
DeepSeek VL2
Qwen2.5 7B Instruct
DeepSeek VL2
Qwen2.5 7B Instruct
Together