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GPT-4.1 nano vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 23.4% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Phi 4 Reasoning 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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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.
16 days newer
GPT-4.1 nano
OpenAI
2025-04-14
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:51.4%
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Phi 4 Reasoning
Average Score:74.8%(+23.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Phi 4 Reasoning
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GPT-4.1 nano
Avg Score:51.4%
Providers:1
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Phi 4 Reasoning
Avg Score:74.8%(+23.4%)
Providers:0