Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28
5 months newer
Performance Metrics
Context window and performance specifications

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct
Average performance across 5 common benchmarks

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Qwen2.5 7B Instruct

Qwen2.5 VL 32B Instruct
Provider Availability & Performance
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