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DeepSeek-V3.2 vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2 offers 3.9K more tokens in context window than GPT-OSS-20B. DeepSeek-V3.2 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
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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.
3 months newer
GPT-OSS-20B
OpenAI
2025-08-05
DeepSeek-V3.2
DeepSeek
2025-12-01
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10($Infinity cheaper)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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GPT-OSS-20B
1 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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GPT-OSS-20B
Avg Score:0.0%
Providers:1