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GPT-5 nano vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 13.9% 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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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 nano
Average Score:78.2%(+13.9%)
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Phi 4 Reasoning
Average Score:64.3%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
Phi 4 Reasoning
2025-03-01
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:78.2%(+13.9%)
Providers:2
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Phi 4 Reasoning
Avg Score:64.3%
Providers:0