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GPT-4.5 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4.5 leads with 25.3% higher average benchmark score. Phi-3.5-mini-instruct offers 123.9K more tokens in context window than GPT-4.5. Phi-3.5-mini-instruct is $224.80 cheaper per million tokens. GPT-4.5 supports multimodal inputs. Overall, GPT-4.5 is the stronger choice for coding tasks.
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OpenAI
GPT-4.5 was developed as an intermediate advancement between GPT-4 and GPT-5, designed to incorporate incremental improvements in reasoning, factuality, and instruction-following. Built to bridge generational capabilities while maintaining compatibility with existing applications, it represents a refinement of the GPT-4 architecture with enhanced performance characteristics.
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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.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT-4.5
OpenAI
2025-02-27
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.5
Input:$75.00
Output:$150.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($224.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4.5
Average Score:86.1%(+25.3%)
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Phi-3.5-mini-instruct
Average Score:60.8%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.5
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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Phi-3.5-mini-instruct
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GPT-4.5
Avg Score:86.1%(+25.3%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:60.8%
Providers:1