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GPT-OSS-120B vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
4 days newer
GPT-OSS-120B
OpenAI
2025-08
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-120B
Input:$Infinity
Output:$Infinity
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-OSS-120B
Average Score:39.9%
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GPT-OSS-20B
Average Score:40.7%(+0.8%)
Performance comparison across key benchmark categories
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GPT-OSS-120B
Science78.3%
Agents1.6%(+0.3%)
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GPT-OSS-20B
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-120B
1 providers
Hugging Face
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GPT-OSS-20B
1 providers
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GPT-OSS-120B
Avg Score:39.9%
Providers:1
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GPT-OSS-20B
Avg Score:40.7%(+0.8%)
Providers:1