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GPT-4o mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 25.0% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
7 months newer
GPT-4o mini
OpenAI
2024-07-18
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:40.2%
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QwQ-32B
Average Score:65.2%(+25.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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QwQ-32B
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GPT-4o mini
Avg Score:40.2%
Providers:1
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QwQ-32B
Avg Score:65.2%(+25.0%)
Providers:0