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QvQ-72B-Preview vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 55.3% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K 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.
6 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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QvQ-72B-Preview
Average Score:6.8%
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Qwen3-235B-A22B-Instruct-2507
Average Score:62.2%(+55.3%)
Provider Availability & Performance
Available providers and their performance metrics
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QvQ-72B-Preview
0 providers
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Qwen3-235B-A22B-Instruct-2507
1 providers
Novita
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QvQ-72B-Preview
Avg Score:6.8%
Providers:0
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Qwen3-235B-A22B-Instruct-2507
Avg Score:62.2%(+55.3%)
Providers:1