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GPT-OSS-20B vs o1 mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o1 mini offers 61.4K more tokens in context window than GPT-OSS-20B. o1 mini is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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OpenAI
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
10 months newer
o1 mini
OpenAI
2024-09-12
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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o1 mini
Input:$1.10
Output:$4.40($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-OSS-20B
Average Score:1.3%(+0.6%)
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o1 mini
Average Score:0.7%
Performance comparison across key benchmark categories
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GPT-OSS-20B
Agents1.3%(+0.6%)
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o1 mini
Agents0.7%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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o1 mini
1 providers
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GPT-OSS-20B
Avg Score:1.3%(+0.6%)
Providers:1
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o1 mini
Avg Score:0.7%
Providers:1