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o4-mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
o4-mini leads with 15.0% higher average benchmark score. o4-mini supports multimodal inputs. 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
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o4-mini
Average Score:87.4%(+15.0%)
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QwQ-32B
Average Score:72.4%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
QwQ-32B
2024-11-28
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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QwQ-32B
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o4-mini
Avg Score:87.4%(+15.0%)
Providers:1
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QwQ-32B
Avg Score:72.4%
Providers:0