Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 8.4% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Average performance across 53 common benchmarks
Qwen2.5 VL 72B Instruct
Qwen3-Next-80B-A3B-Thinking
Available providers and their performance metrics
Qwen2.5 VL 72B Instruct
Qwen3-Next-80B-A3B-Thinking
Novita
Qwen2.5 VL 72B Instruct
Qwen3-Next-80B-A3B-Thinking
Qwen2.5 VL 72B Instruct
Qwen3-Next-80B-A3B-Thinking