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o1-mini vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
o1-mini leads with 9.6% higher average benchmark score. 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
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
7 days newer
o1-mini
OpenAI
2024-09-12
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o1-mini
Average Score:79.2%(+9.6%)
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Qwen2.5 14B Instruct
Average Score:69.6%
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:79.2%(+9.6%)
Providers:2
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Qwen2.5 14B Instruct
Avg Score:69.6%
Providers:0