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GPT-4.1 nano vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 19.0% 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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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
2 months newer
Phi 4 Mini
Microsoft
2025-02-01
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:65.2%(+19.0%)
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Phi 4 Mini
Average Score:46.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Phi 4 Mini
2024-06-01
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 Mini
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GPT-4.1 nano
Avg Score:65.2%(+19.0%)
Providers:1
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Phi 4 Mini
Avg Score:46.3%
Providers:0