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GPT OSS 120B vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 9.4% higher average benchmark score. Both models have similar pricing. 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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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.
Launched on the same date
GPT OSS 120B
OpenAI
2025-08-05
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.29 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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GPT OSS 120B
Average Score:61.7%(+9.4%)
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GPT OSS 20B
Average Score:52.3%
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:61.7%(+9.4%)
Providers:5
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GPT OSS 20B
Avg Score:52.3%
Providers:4