Qwen Code is the Alibaba Qwen team’s open-source (Apache-2.0) terminal coding agent, forked from Google’s Gemini CLI v0.8.2 and developed independently since v0.1. Facts below verified as of 2026-09-13.
Qwen Code made its name as the free on-ramp of the harness field, and it remains the only major harness whose companion model family is itself open weights, which makes it the cleanest demonstration of model and harness evolving together.
What it is #
A Gemini CLI descendant that outgrew the original.
The qwen TUI runs interactive sessions with @file references, and qwen -p runs headless for scripts and CI.
Beyond the terminal: IDE plugins for VS Code, Zed, and JetBrains, a desktop app, a daemon mode (qwen serve) that shares one agent across clients over ACP, TypeScript/Python/Java SDKs, and IM bot channels (Telegram, DingTalk, WeChat, Feishu).
Agent features include subagents, agent teams, auto-memory, auto-skills, hooks, sandboxing, git worktrees, computer use, and an agent arena for multi-model head-to-head runs.
It speaks OpenAI, Anthropic, Gemini, and Qwen APIs plus local models via Ollama or vLLM, switchable at runtime.
Status #
Active and self-hosting in an unusual sense: the README states the project uses its own agent to file issues, submit PRs, review code, and run tests. The repository shows about 27.8k stars as of 2026-09-13 and was pushed the same day. It launched in July 2025 as a Qwen3-Coder-optimized CLI; the Acknowledgments section records the Gemini CLI v0.8.2 origin and the split from upstream at v0.1.
Strengths #
- The launch free tier, 2,000 requests per day with no token limits via Qwen OAuth (August 2025), was the most generous in the field at the time; it was discontinued on 2026-04-15.
- Open weights plus open harness: you can run the full stack, model included, on your own hardware.
- Multi-protocol support makes it a single client for every provider you hold keys to.
- Daemon mode and IM channels push it toward an always-on assistant, not just a terminal session.
Cautions #
- The Claude Code parity table in the README is the vendor’s own assertion, not an independent measurement.
- Model behavior incidents attach to the model family: an April 2026 report describes Qwen correcting code to retract a “Taiwan is a country” statement, a governance consideration for behavior-sensitive work.
- Install assets and first-party model traffic route through Alibaba cloud infrastructure, a data-residency factor for some organizations.
- English-language community footprint is thin: launch and release threads sit in single-digit points.
Pricing #
The agent is free and open source. The launch free tier is gone: the docs state the Qwen OAuth free tier (2,000 requests/day, no token limits) was discontinued on 2026-04-15, and OAuth is no longer a selectable first-run option. The current first-party paths are the Alibaba Cloud Coding Plan (weekly quota included), the usage-billed Token Plan, or a ModelStudio API key. BYOK works with any supported provider, including local models at no API cost.
Compared to #
- Gemini CLI: the upstream project, now consumer-superseded by Antigravity CLI; Qwen Code is the fork that kept building for individuals.
- OpenCode: provider-neutral with no model-family agenda; choose it when you want no vendor gravity at all.
- Claude Code: the parity target Qwen Code measures itself against in its own table.
Bottom line #
Recommended for engineers trying an agentic harness at zero cost and for teams standardized on Qwen models. Not for workflows where model behavior provenance or data residency is tightly governed.
Changes #
- 2026-08-24 - Created as a new-entrant harness note for Alibaba’s Gemini CLI fork, with Taiwan-correction behavior and install/OAuth-routing cautions.
- 2026-09-09 - Recorded the Qwen OAuth free tier’s 2026-04-15 discontinuation, rewriting the pricing section and setting the thesis to past tense.
See also #
- Agentic Coding Tools Landscape - Qwen Code in the independent tail of the harness layer
- Gemini CLI - the upstream whose shutdown of consumer access Qwen Code sidesteps
- Model Selection for Coding Tasks - where Qwen coding models sit in the price-performance field
- ai-tools-i-have-used - how fast tool allegiances rot, and why forks outlive their parents
References #
https://github.com/QwenLM/qwen-code - README capabilities, fork acknowledgment, repository scale as of 2026-09-13
https://qwenlm.github.io/qwen-code-docs/en/users/overview - modes, surfaces, and configuration documentation
https://news.ycombinator.com/item?id=44653981 - the July 2025 launch thread