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Phi 4 Mini vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 1.9% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
1 month newer
Phi 4 Mini
Microsoft
2025-02-01
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 4 common benchmarks
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Phi 4 Mini
Average Score:57.6%
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Qwen2.5-Omni-7B
Average Score:59.5%(+1.9%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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
0 providers
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Qwen2.5-Omni-7B
0 providers
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Phi 4 Mini
Avg Score:57.6%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:59.5%(+1.9%)
Providers:0