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GPT-4.1 mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 10.0% higher average benchmark score. GPT-4.1 mini supports multimodal inputs. GPT-4.1 mini is available on 2 providers. Overall, QwQ-32B is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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
GPT-4.1 mini
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 mini
Average Score:66.2%
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QwQ-32B
Average Score:76.2%(+10.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 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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GPT-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:66.2%
Providers:2
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QwQ-32B
Avg Score:76.2%(+10.0%)
Providers:0