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GPT-4 Turbo vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 42.2% 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, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
4 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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 32 common benchmarks
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GPT-4 Turbo
Average Score:14.6%
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Phi-3.5-mini-instruct
Average Score:56.9%(+42.2%)
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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:14.6%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:56.9%(+42.2%)
Providers:1