Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 23.5% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
16 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Context window and performance specifications
Average performance across 48 common benchmarks
DeepSeek-V3.1
Qwen2.5 VL 7B Instruct
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Qwen2.5 VL 7B Instruct
DeepSeek-V3.1
Qwen2.5 VL 7B Instruct
DeepSeek-V3.1
Qwen2.5 VL 7B Instruct