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GPT-5 nano vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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.
10 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:0.0%
Providers:2
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Qwen2.5-Coder 7B Instruct
Avg Score:0.0%
Providers:0