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DeepSeek-V3.1 vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 4.1% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than GPT OSS 20B. GPT OSS 20B is $1.02 cheaper per million tokens. GPT OSS 20B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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GPT OSS 20B
Input:$0.05
Output:$0.20($1.02 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:53.5%
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GPT OSS 20B
Average Score:57.6%(+4.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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GPT OSS 20B
4 providers
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DeepSeek-V3.1
Avg Score:53.5%
Providers:2
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GPT OSS 20B
Avg Score:57.6%(+4.1%)
Providers:4