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GPT-4 Turbo vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 24.8% higher average benchmark score. Phi-3.5-mini-instruct offers 123.9K more tokens in context window than GPT-4 Turbo. Phi-3.5-mini-instruct is $39.80 cheaper per million tokens. Overall, GPT-4 Turbo is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
4 months newer
GPT-4 Turbo
OpenAI
2024-04-09
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 Turbo
Input:$10.00
Output:$30.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($39.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-4 Turbo
Average Score:76.5%(+24.8%)
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Phi-3.5-mini-instruct
Average Score:51.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:76.5%(+24.8%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:51.7%
Providers:1