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Qwen3-Coder

QwenLM/Qwen3-Coder

Code version of Qwen3 instruct models for chatting

GraphCanon updated 2w · GitHub synced 2w

17k stars1.2k forksLast push 5mo Python

Decision brief

Qwen3-Coder is the code-oriented variant of Qwen3 designed for chat interactions without thought process outputs.

Good fit when

  • Use when you require a model that can engage in detailed technical chats but explicitly avoids displaying any internal reasoning process in its responses, ensuring succinct and direct answers.
  • Ideal for developers who need quick, actionable replies to code-related inquiries without extraneous explanations.

Avoid when

  • Avoid if your workflow requires transparency into the model's decision-making or logical deductions as it does not generate any form of reasoning output.
  • Not recommended in scenarios where users benefit from understanding the thought process behind certain outputs, such as educational settings for learning how decisions are made by AI models.
Pricing:
unknown - Pricing details have not been provided in repository data.

Observed Jul 16, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (134d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
No criticals
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Qwen3-Coder
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Qwen3-Coder represents the coding-oriented variant of the Qwen3 series, designed primarily to engage in chat-based interactions without implementing thought processes within its responses.

Capability facts

Languages
python

Source: github.language · Aug 5, 2026

Categories

Tags

README

Quick Start

[!Important] Qwen3-Coder are instruct models for chatting;

This model supports only non-thinking mode and does not generate <think></think> blocks in its output. Meanwhile, specifying enable_thinking=False is no longer required.

For agents

This page has a .md twin and JSON over the API.

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