Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
Qwen2.5 VL 7B Instruct
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.
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
8 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
Qwen2.5 VL 7B Instruct
Average performance across 46 common benchmarks
DeepSeek-V3.2-Exp
Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Qwen2.5 VL 7B Instruct
DeepSeek-V3.2-Exp
Qwen2.5 VL 7B Instruct