Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 138.2K more tokens in context window than GPT-OSS-120B. Qwen3-Coder-480B is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
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.
10 days newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
GPT-OSS-120B
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
Qwen3-Coder-480B
GPT-OSS-120B
Qwen3-Coder-480B
GPT-OSS-120B
Qwen3-Coder-480B
OpenRouter