Qwen3-Coder-Next
Qwen3-Coder-Next is an AI model published by 阿里巴巴, released on 2026-02-03, for Coding model, with 80.0B parameters, and 256K tokens context length, requiring about 48GB storage, under the Qwen License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen3-Coder-Next currently shows benchmark results led by SWE-bench Verified (48 / 103, score 70.60), Aider-Polyglot (14 / 26, score 66.20), Pinch Bench (25 / 37, score 79.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Qwen3-Coder-Next is an AI model published by 阿里巴巴, released on 2026-02-03, for Coding model, with 80.0B parameters, and 256K tokens context length, requiring about 48GB storage, under the Qwen License license.
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