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o1-mini vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
o1-mini leads with 4.9% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 62.5K more tokens in context window than o1-mini. Qwen2.5-Coder 32B Instruct is $14.82 cheaper per million tokens. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
7 days newer
o1-mini
OpenAI
2024-09-12
Qwen2.5-Coder 32B 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-Coder 32B Instruct
Input:$0.09
Output:$0.09($14.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-mini
Average Score:88.8%(+4.9%)
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Qwen2.5-Coder 32B Instruct
Average Score:83.9%
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:88.8%(+4.9%)
Providers:2
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Qwen2.5-Coder 32B Instruct
Avg Score:83.9%
Providers:4