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GPT-5 mini vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 37.6% higher average benchmark score. GPT-5 mini supports multimodal inputs. GPT-5 mini is available on 2 providers. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
GPT-5 mini
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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GPT-5 mini
Average Score:21.4%
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Phi 4 Reasoning
Average Score:59.0%(+37.6%)
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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:21.4%
Providers:2
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Phi 4 Reasoning
Avg Score:59.0%(+37.6%)
Providers:0