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GPT OSS 120B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 28.1% higher average benchmark score. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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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.
3 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
GPT OSS 120B
OpenAI
2025-08-05
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 120B
Average Score:80.1%(+28.1%)
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Phi 4 Mini Reasoning
Average Score:52.0%
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Knowledge Cutoff
Training data recency comparison
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 OSS 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:80.1%(+28.1%)
Providers:5
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0