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GPT-4 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4 leads with 13.1% higher average benchmark score. Phi-3.5-mini-instruct offers 190.5K more tokens in context window than GPT-4. Phi-3.5-mini-instruct is $89.80 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, GPT-4 is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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 year newer
GPT-4
OpenAI
2023-06-13
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-4
Input:$30.00
Output:$60.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($89.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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GPT-4
Average Score:69.8%(+13.1%)
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Phi-3.5-mini-instruct
Average Score:56.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:69.8%(+13.1%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:56.6%
Providers:1