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GPT OSS 20B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 19.5% higher average benchmark score. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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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 20B
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 20B
Average Score:71.5%(+19.5%)
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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 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:71.5%(+19.5%)
Providers:4
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0