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o4-mini vs Qwen3 32B
Comprehensive side-by-side LLM comparison
o4-mini leads with 15.9% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Qwen3 32B. Qwen3 32B is $5.10 cheaper per million tokens. o4-mini supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
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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.
13 days newer
o4-mini
OpenAI
2025-04-16
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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o4-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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o4-mini
Average Score:93.1%(+15.9%)
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Qwen3 32B
Average Score:77.1%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Qwen3 32B
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o4-mini
Avg Score:93.1%(+15.9%)
Providers:1
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Qwen3 32B
Avg Score:77.1%
Providers:3