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GPT OSS 20B vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 20.6% 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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
11 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
GPT OSS 20B
OpenAI
2025-08-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 20B
Average Score:78.4%(+20.6%)
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Phi-3.5-MoE-instruct
Average Score:57.9%
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:78.4%(+20.6%)
Providers:4
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Phi-3.5-MoE-instruct
Avg Score:57.9%
Providers:0