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GPT OSS 20B vs Qwen3 32B
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 18.0% higher average benchmark score. GPT OSS 20B offers 6.1K more tokens in context window than Qwen3 32B. Both models have similar pricing. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
3 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.15 cheaper)
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Qwen3 32B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 20B
Average Score:83.9%(+18.0%)
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Qwen3 32B
Average Score:65.9%
Provider Availability & Performance
Available providers and their performance metrics
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GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:83.9%(+18.0%)
Providers:4
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Qwen3 32B
Avg Score:65.9%
Providers:3