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

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K 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.

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
4 months newer
Performance Metrics
Context window and performance specifications

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Thinking-2507
Average performance across 2 common benchmarks

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Thinking-2507
Performance comparison across key benchmark categories

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Thinking-2507
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Thinking-2507
Novita

Qwen2.5 VL 32B Instruct

Qwen3-235B-A22B-Thinking-2507