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GLM (Z.ai) vs Sourcegraph Cody
A plain-English comparison to help you choose between them.
A cost restructure and an estate map, solving unrelated problems under one category tag: GLM makes daily agent coding cheap, Cody makes a sprawling codebase navigable. Pick GLM when the client is chosen and the bill is the problem, a flat plan from around $18 a month feeding open-weight models into tools such as Claude Code, with a 1M-token context for large-codebase work. Pick Sourcegraph Cody when the organisation's problem is understanding, answers and impact analysis grounded in how code connects across thousands of repositories, bought through enterprise procurement because that is the only remaining door.
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
- Cost
- Freemium (Free tier + paid plans)
- Ease
- 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
Cody is Sourcegraph's enterprise coding AI, built on the code-intelligence platform that indexes very large, multi-repository codebases.
- Best for
- Multi-repo and monorepo context at enterprise scale
- Cross-repo impact analysis before changes land
- Answers grounded in how the whole estate connects
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Enterprise deployments keep code context inside your environment with admin controls fit for security review.
Common questions
Does GLM's 1M context not cover the estate problem?
A long context reads a lot of code; it does not index an organisation. Cody's grounding is the Sourcegraph platform's code intelligence, cross-repo references, usage patterns and impact analysis across the whole estate, machinery a context window does not replicate however large. For a single big repository the context helps; for thousands of repositories, the platform is the point.
Who can actually buy each one?
Nearly disjoint audiences. GLM sells to anyone with a card and an existing coding client, individual developers included, reversible with a configuration edit. Cody retired its free and individual tiers by deliberate strategy: the buying motion is enterprise procurement, individuals were pointed at a separate product line, and evaluating Cody means evaluating the platform beneath it.
Could an enterprise sensibly run both?
Yes, on different lines: Cody as the estate's navigation and assistance layer under enterprise controls, GLM as a cost lever for heavy agent volume in the terminal clients its developers already drive. The frontier caveat spans both, since GLM concedes ambiguous, sustained multi-agent work to the closed frontier models, which neither of these purchases replaces.
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Tool facts last checked July 2026