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Gemini Diffusion vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 42.2% 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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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.
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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.
1 month newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Gemini Diffusion
2025-05-20
Average performance across 52 common benchmarks
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Gemini Diffusion
Average Score:9.0%
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Qwen2.5-Omni-7B
Average Score:51.3%(+42.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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Qwen2.5-Omni-7B
0 providers
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Gemini Diffusion
Avg Score:9.0%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:51.3%(+42.2%)
Providers:0