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Phi 4 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Phi 4 leads with 15.9% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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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.
3 months newer
Phi 4
Microsoft
2024-12-12
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Phi 4
Average Score:67.4%(+15.9%)
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Qwen2.5-Omni-7B
Average Score:51.5%
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Knowledge Cutoff
Training data recency comparison
Phi 4
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
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen2.5-Omni-7B
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Phi 4
Avg Score:67.4%(+15.9%)
Providers:1
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Qwen2.5-Omni-7B
Avg Score:51.5%
Providers:0