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DeepSeek-R1 vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
GPT-OSS-20B leads with 7.9% higher average benchmark score. DeepSeek-R1 offers 3.9K more tokens in context window than GPT-OSS-20B. DeepSeek-R1 is $Infinity cheaper per million tokens. Overall, GPT-OSS-20B 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-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.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
GPT-OSS-20B
OpenAI
2025-08-05
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-20B
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-20B
Average Score:40.7%(+7.9%)
Performance comparison across key benchmark categories
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DeepSeek-R1
Science62.4%
Agents3.1%(+1.8%)
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GPT-OSS-20B
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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GPT-OSS-20B
1 providers
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DeepSeek-R1
Avg Score:32.8%
Providers:1
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GPT-OSS-20B
Avg Score:40.7%(+7.9%)
Providers:1