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Phi 4 Mini Reasoning vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 21.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
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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
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 1 common benchmarks
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Phi 4 Mini Reasoning
Average Score:52.0%(+21.2%)
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Qwen2.5-Omni-7B
Average Score:30.8%
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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:52.0%(+21.2%)
Providers:0
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Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0