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Phi 4 Mini Reasoning vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 52.4% 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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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft'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
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 47 common benchmarks
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Phi 4 Mini Reasoning
Average Score:4.3%
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Qwen2.5-Omni-7B
Average Score:56.7%(+52.4%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen2.5-Omni-7B
0 providers
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Phi 4 Mini Reasoning
Avg Score:4.3%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:56.7%(+52.4%)
Providers:0