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GPT-4.1 nano vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 6.4% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi 4 Mini
Microsoft
2025-02-01
GPT-4.1 nano
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 40 common benchmarks
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GPT-4.1 nano
Average Score:21.4%
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Phi 4 Mini
Average Score:27.8%(+6.4%)
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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:21.4%
Providers:1
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Phi 4 Mini
Avg Score:27.8%(+6.4%)
Providers:0