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o3-mini vs Qwen3 32B
Comprehensive side-by-side LLM comparison
o3-mini leads with 7.8% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Qwen3 32B. Qwen3 32B is $5.10 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
2 months newer
o3-mini
OpenAI
2025-01-30
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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o3-mini
Input:$1.10
Output:$4.40
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Qwen3 32B
Input:$0.10
Output:$0.30($5.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o3-mini
Average Score:85.9%(+7.8%)
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Qwen3 32B
Average Score:78.1%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:85.9%(+7.8%)
Providers:2
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Qwen3 32B
Avg Score:78.1%
Providers:3