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GPT-4 Turbo vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 4.0% higher average benchmark score. GPT-4 Turbo is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4 Turbo
Average Score:48.0%
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Phi 4 Mini Reasoning
Average Score:52.0%(+4.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
Phi 4 Mini Reasoning
2025-02-01
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-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:48.0%
Providers:2
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Phi 4 Mini Reasoning
Avg Score:52.0%(+4.0%)
Providers:0