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GPT-5 mini vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 22.4% higher average benchmark score. GPT-5 mini supports multimodal inputs. GPT-5 mini is available on 2 providers. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
GPT-5 mini
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 mini
Average Score:86.7%(+22.4%)
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Phi 4 Reasoning
Average Score:64.3%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
Phi 4 Reasoning
2025-03-01
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-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:86.7%(+22.4%)
Providers:2
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Phi 4 Reasoning
Avg Score:64.3%
Providers:0