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o1-mini vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B offers 62.5K more tokens in context window than o1-mini. Qwen3 32B is $14.60 cheaper per million tokens. 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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
7 months newer
o1-mini
OpenAI
2024-09-12
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 32B
Input:$0.10
Output:$0.30($14.60 cheaper)
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:2
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Qwen3 32B
Avg Score:0.0%
Providers:3