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GPT-OSS-20B vs Qwen3-Coder-480B
Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 138.2K more tokens in context window than GPT-OSS-20B. Qwen3-Coder-480B is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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Alibaba / Qwen
Qwen3-Coder-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
14 days newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Qwen3-Coder-480B
Input:$0.50
Output:$1.00($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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Qwen3-Coder-480B
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Qwen3-Coder-480B
Avg Score:0.0%
Providers:1