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

Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26

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

Qwen2.5 VL 72B Instruct

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

Qwen2.5 VL 72B Instruct

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

Qwen2.5 VL 72B Instruct

Qwen3-235B-A22B-Thinking-2507
Novita

Qwen2.5 VL 72B Instruct

Qwen3-235B-A22B-Thinking-2507