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o4-mini vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
o4-mini leads with 29.8% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused 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.
20 days newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o4-mini
Average Score:82.4%(+29.8%)
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Qwen2.5-Omni-7B
Average Score:52.6%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Qwen2.5-Omni-7B
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o4-mini
Avg Score:82.4%(+29.8%)
Providers:1
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Qwen2.5-Omni-7B
Avg Score:52.6%
Providers:0