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GPT-4.1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 29.7% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $9.80 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT-4.1
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($9.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1
Average Score:81.3%(+29.7%)
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Phi-3.5-mini-instruct
Average Score:51.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
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
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Phi-3.5-mini-instruct
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GPT-4.1
Avg Score:81.3%(+29.7%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:51.6%
Providers:1