Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 34.6% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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.
3 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Context window and performance specifications
Average performance across 41 common benchmarks
Qwen2.5 VL 7B Instruct
Qwen3 32B
Available providers and their performance metrics
Qwen2.5 VL 7B Instruct
Qwen3 32B
DeepInfra
Qwen2.5 VL 7B Instruct
Qwen3 32B
Qwen2.5 VL 7B Instruct
Qwen3 32B
Novita
Sambanova