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GPT-4.1 nano vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 2.9% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Qwen2 72B was developed as the flagship model in the Qwen2 generation, designed to provide advanced language understanding with 72 billion parameters. Built to deliver strong performance across diverse tasks, it represented a significant advancement in Qwen's model capabilities when introduced.
8 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:65.2%(+2.9%)
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Qwen2 72B Instruct
Average Score:62.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
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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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Qwen2 72B Instruct
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GPT-4.1 nano
Avg Score:65.2%(+2.9%)
Providers:1
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Qwen2 72B Instruct
Avg Score:62.3%
Providers:0