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DeepSeek-R1 vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
GPT-OSS-120B leads with 7.2% higher average benchmark score. DeepSeek-R1 offers 3.9K more tokens in context window than GPT-OSS-120B. DeepSeek-R1 is $Infinity cheaper per million tokens. Overall, GPT-OSS-120B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning 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.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
GPT-OSS-120B
OpenAI
2025-08
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($Infinity cheaper)
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GPT-OSS-120B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-R1
Average Score:32.8%
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GPT-OSS-120B
Average Score:39.9%(+7.2%)
Performance comparison across key benchmark categories
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DeepSeek-R1
Science62.4%
Agents3.1%(+1.5%)
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GPT-OSS-120B
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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GPT-OSS-120B
1 providers
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DeepSeek-R1
Avg Score:32.8%
Providers:1
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GPT-OSS-120B
Avg Score:39.9%(+7.2%)
Providers:1