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GPT-5 nano vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 45.9% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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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
Qwen2 7B was created as an efficient variant in the Qwen2 family, designed to provide capable instruction-following with 7 billion parameters. Built to serve as a practical foundation for applications requiring reliable language understanding, it balances performance with deployment efficiency.
1 year newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 nano
Average Score:71.2%(+45.9%)
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Qwen2 7B Instruct
Average Score:25.3%
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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:71.2%(+45.9%)
Providers:2
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Qwen2 7B Instruct
Avg Score:25.3%
Providers:0