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GPT-4.1 nano vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 12.5% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano 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
Qwen 2.5 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
6 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 nano
Average Score:80.1%(+12.5%)
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Qwen2.5-Coder 7B Instruct
Average Score:67.6%
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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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Qwen2.5-Coder 7B Instruct
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GPT-4.1 nano
Avg Score:80.1%(+12.5%)
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:67.6%
Providers:0