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GPT-5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-5 leads with 36.4% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $11.05 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
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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.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5
Input:$1.25
Output:$10.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($11.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-5
Average Score:89.1%(+36.4%)
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Phi-3.5-mini-instruct
Average Score:52.7%
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Knowledge Cutoff
Training data recency comparison
GPT-5
2024-09-30
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
2 providers
OpenAI
Throughput: 100 tok/s
Latency: 2ms
ZeroEval
Throughput: 100 tok/s
Latency: 2ms
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GPT-5
Avg Score:89.1%(+36.4%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:52.7%
Providers:1