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DeepSeek-V3.2-Exp vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT OSS 20B offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. 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-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
1 month newer
GPT OSS 20B
OpenAI
2025-08-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.43 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:56.8%
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GPT OSS 20B
Average Score:57.6%(+0.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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GPT OSS 20B
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DeepSeek-V3.2-Exp
Avg Score:56.8%
Providers:2
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GPT OSS 20B
Avg Score:57.6%(+0.8%)
Providers:4