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GPT-4.1 nano vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 24.8% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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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 nano
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 nano
Average Score:51.4%
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QwQ-32B
Average Score:76.2%(+24.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
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 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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QwQ-32B
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GPT-4.1 nano
Avg Score:51.4%
Providers:1
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QwQ-32B
Avg Score:76.2%(+24.8%)
Providers:0