Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 8.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
5 months newer

Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Context window and performance specifications
Average performance across 5 common benchmarks

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct
Available providers and their performance metrics

Qwen2.5 7B Instruct
Together

Qwen2.5 VL 32B Instruct

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct