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
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
6 months newer

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

QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen2-VL-72B-Instruct
2023-06-30
QwQ-32B
2024-11-28
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

QwQ-32B

Qwen2-VL-72B-Instruct

QwQ-32B