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Qwen2.5-Omni-7B vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 13.1% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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.
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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.
3 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Performance Metrics
Context window and performance specifications
Average performance across 66 common benchmarks
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Qwen2.5-Omni-7B
Average Score:40.4%(+13.1%)
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Qwen3-235B-A22B-Instruct-2507
Average Score:27.3%
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5-Omni-7B
0 providers
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Qwen3-235B-A22B-Instruct-2507
1 providers
Novita
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Qwen2.5-Omni-7B
Avg Score:40.4%(+13.1%)
Providers:0
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Qwen3-235B-A22B-Instruct-2507
Avg Score:27.3%
Providers:1