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GPT-4o vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4o leads with 27.4% higher average benchmark score. Phi-3.5-mini-instruct offers 111.6K more tokens in context window than GPT-4o. Phi-3.5-mini-instruct is $12.30 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, GPT-4o is the stronger choice for coding tasks.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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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.
17 days newer
GPT-4o
OpenAI
2024-08-06
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($12.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o
Average Score:78.0%(+27.4%)
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Phi-3.5-mini-instruct
Average Score:50.6%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:78.0%(+27.4%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:50.6%
Providers:1