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o4-mini vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 31.0% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI'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.
20 days newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 56 common benchmarks
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o4-mini
Average Score:16.6%
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Qwen2.5-Omni-7B
Average Score:47.6%(+31.0%)
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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:16.6%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:47.6%(+31.0%)
Providers:0