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GPT-4o mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 21.6% higher average benchmark score. Phi-3.5-mini-instruct offers 111.6K more tokens in context window than GPT-4o mini. Phi-3.5-mini-instruct is $0.55 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
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 mini
Input:$0.15
Output:$0.60
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4o mini
Average Score:73.3%(+21.6%)
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Phi-3.5-mini-instruct
Average Score:51.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Phi-3.5-mini-instruct
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GPT-4o mini
Avg Score:73.3%(+21.6%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:51.7%
Providers:1