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GPT OSS 20B vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 10.2% higher average benchmark score. GPT OSS 20B offers 6.1K more tokens in context window than Qwen2.5-Coder 32B Instruct. 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
10 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 20B
Average Score:85.3%(+10.2%)
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Qwen2.5-Coder 32B Instruct
Average Score:75.1%
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:85.3%(+10.2%)
Providers:4
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Qwen2.5-Coder 32B Instruct
Avg Score:75.1%
Providers:4