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DeepSeek-V3 vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 4.6% higher average benchmark score. GPT OSS 20B is $1.12 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 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
7 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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GPT OSS 20B
Input:$0.05
Output:$0.20($1.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3
Average Score:73.8%
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GPT OSS 20B
Average Score:78.4%(+4.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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GPT OSS 20B
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DeepSeek-V3
Avg Score:73.8%
Providers:1
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GPT OSS 20B
Avg Score:78.4%(+4.6%)
Providers:4