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o1-mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
o1-mini leads with 15.6% higher average benchmark score. o1-mini offers 54.3K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $14.40 cheaper per million tokens. 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 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
7 days newer
o1-mini
OpenAI
2024-09-12
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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o1-mini
Input:$3.00
Output:$12.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($14.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-mini
Average Score:76.2%(+15.6%)
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Qwen2.5 7B Instruct
Average Score:60.6%
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:76.2%(+15.6%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:60.6%
Providers:1