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DeepSeek-V3.2 vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2 offers 3.9K more tokens in context window than GPT-OSS-120B. 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-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.
4 months newer
GPT-OSS-120B
OpenAI
2025-08
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-120B
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-120B
1 providers
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1
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GPT-OSS-120B
Avg Score:0.0%
Providers:1