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o1-mini vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
o1-mini leads with 21.5% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. o1-mini is available on 2 providers. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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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.
6 months newer
o1-mini
OpenAI
2024-09-12
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 2 common benchmarks
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o1-mini
Average Score:76.2%(+21.5%)
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Qwen2.5-Omni-7B
Average Score:54.8%
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:76.2%(+21.5%)
Providers:2
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Qwen2.5-Omni-7B
Avg Score:54.8%
Providers:0