Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
1 year newer

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Qwen2-VL-72B-Instruct
2023-06-30
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking
Novita

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking