Both tools chosen. Compare is enabled.
Every pairing here opens a written comparison. Don't see your pair? Pin both tools in the catalogue to compare specs side by side.
Compare
GLM (Z.ai) vs Kimi Code
A plain-English comparison to help you choose between them.
Pick GLM if you want to keep the client you already use: the GLM Coding Plan, a flat monthly subscription, runs open-weight models inside tools such as Claude Code, so nothing about your workflow changes. Pick Kimi Code if you are willing to adopt its own open-source client, an MIT CLI for terminal and IDEs that Zed and JetBrains can drive over ACP. Both are open-weight and cost-controlled, and both hosted APIs are served from China, so the real decision is the client you keep versus the client you take on.
Side by side
- Summary
GLM is Z.ai's coding-first model family, sold less as a new tool than as a change to what powers the one you already have.
- Best for
- Flat-rate coding subscription from around $18 a month
- MIT-licensed GLM-5.2 open weights you can self-host
- A 1M-token context for large-codebase work
- Pay-per-token API access alongside the subscription
- A coding-first family, not a general-purpose assistant
- Less suited to
Developers who want an agent client of their own rather than a model fed into an existing one are closer to Kimi Code, which ships its own MIT-licensed client for terminal and IDEs. Anyone wanting the cheapest possible entry into coding assistance starts at GitHub Copilot, whose free tier and in-editor integrations cover the first mile. And a generalist who codes only occasionally is better served by Claude or ChatGPT than by a coding-first subscription.
The hosted API is served from China, a jurisdiction question some organisations must answer before routing source code through it. Self-hosting the open weights removes that question entirely, because the model runs on infrastructure you control, but it also converts a subscription into an infrastructure project, and that operational work is the buyer's to own.
- Cost
- Free tier + paid plans
- Ease
- Intermediate
- Openness
- Runs privately (self-hostable)
- Data
- GLM's hosted API is served from China, a jurisdiction point to weigh before routing real code or prompts through it. Self-hosting the open weights removes that question entirely: the model runs on infrastructure you control, and nothing leaves it.
- Summary
Kimi Code is a coding agent for the terminal and IDEs whose command-line interface is itself open source, published by Moonshot AI in the MoonshotAI/kimi-code repository under an MIT licence.
- Best for
- Open-source terminal and IDE agent adopted without switching tools
- Speaks ACP so Zed and JetBrains can drive it
- Backs Claude Code through an Anthropic-compatible endpoint
- Reuses MCP servers configured for other agents unchanged
- Subscription from around $19, or pay-as-you-go through the API
- Less suited to
Kimi Code is a cost lever inside an existing stack rather than a frontier upgrade. On ambiguous specifications and sustained multi-agent work, frontier closed models still win, so Claude Code goes deeper when the task is genuinely hard rather than merely voluminous. It is also its own client and model rather than an editor: teams that want an integrated authoring surface are better served by Cursor, and those standardised on in-editor completion by GitHub Copilot.
The subscription carries a quota question. Allowances refresh weekly and concurrency is capped, so heavy or bursty use runs into the meter rather than a flat ceiling, and the honest pattern is a daily driver here with a retained frontier seat for the hard problems. Budget the two together rather than expecting one plan to cover both. One jurisdiction point the plan does not settle: Kimi's hosted API is served from China, so weigh where your code and prompts travel before routing sensitive work through it.
- Cost
- Free tier + paid plans
- Ease
- Intermediate
- Openness
- Runs privately (self-hostable)
- Data
- The command-line client is open source (MIT), but the hosted API is served from China, so weigh where your code and prompts travel before routing sensitive work through it. Agent output needs the same diff review as any coding agent before it ships.
By area
Where each one pulls ahead, area by area.
| Area | Pick GLM (Z.ai) when | Pick Kimi Code when |
|---|---|---|
| Software development | you only want a model to feed the editor you already have | both are open-weight coding subscriptions, but GLM sells a plan that runs inside your existing client whereas Kimi Code is its own client that other clients can also call |
| Coding & software development | GLM feeds its open-weight models into the client you already use rather than shipping a client of its own | you would rather adopt its open-source agent for terminal and IDE work than reconfigure an existing tool |
Common questions
How do I actually choose between them?
By what you keep. GLM is the GLM Coding Plan, a flat monthly subscription that runs open-weight models inside the editor or client you already work in, so your workflow does not change. Kimi Code is its own open-source client you install and adopt, though it speaks ACP so Zed and JetBrains can drive it. Choose on whether you want to keep your current client or take on a new one.
Can Kimi Code work inside Claude Code the way GLM does?
Partly. Kimi Code can back Claude Code through an Anthropic-compatible endpoint, so you can point that client at it. Its natural home, though, is its own open-source CLI for terminal and IDEs, with Zed and JetBrains driving it over ACP. GLM is built the other way round: the GLM Coding Plan feeds tools such as Claude Code rather than shipping a client of its own.
Are these ready to replace a frontier coding model?
As daily drivers, yes, and both are open-weight and cost-controlled. GLM-5.2 ships MIT-licensed weights with a 1M-token context; Kimi K2.7-Code is open-weight with a 256K context. On ambiguous specifications and sustained multi-agent work, frontier closed models still win, so teams choosing on cost or sovereignty grounds run either of these as the everyday option and keep a frontier seat for the hard cases. Note both hosted APIs are served from China.
Related comparisons
Read the full guides
Where to start
Not sure what to adopt first?
Five quick questions about your job, task and constraints. We'll suggest your top three tools, plus the one to try first.
Tool facts last checked July 2026