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Qwen vs Sourcegraph Cody
A plain-English comparison to help you choose between them.
Owned weights against a bought platform, and rarely the same conversation: Qwen is the model layer for organisations that treat coding AI as infrastructure, Cody an enterprise product for organisations whose codebase outgrew single-repo tools. Pick Qwen when sovereignty and volume drive the decision, Apache-2.0 weights served on your own GPUs, wired into agentic workflows you control, with nothing leaving your machines. Pick Sourcegraph Cody when the estate is the problem, completions and answers grounded in cross-repo context under enterprise controls, procured rather than downloaded.
Side by side
- Summary
Qwen is Alibaba's model line, and the part this guide recommends is the open-weight family: the models you download and serve on your own hardware.
- Best for
- The current default for new self-hosted coding work
- Apache-2.0 open weights, free to download and run
- Coding agents on infrastructure you control
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Qwen's hosted API runs on Alibaba Cloud, which carries a jurisdiction question for some organisations. Self-hosting the open weights removes it: the model runs on your own infrastructure, so data governance stays entirely in your hands.
- 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
Can self-hosted Qwen replicate what Cody does?
Not without building Sourcegraph's other half. The weights supply capability; Cody's differentiator is the code-intelligence platform beneath it, indexing how code connects across thousands of repositories for impact analysis before changes land. An organisation could assemble similar machinery on its own models, but that is a platform engineering programme, not a deployment.
Which answers a sovereignty mandate?
Qwen, structurally: inference on hardware you govern makes the data-residency answer architectural rather than contractual, the reason the open-weight line is the current default for new self-hosted coding work. Cody's answer is contractual and platform-shaped, enterprise controls that satisfy security review, which many regulated buyers accept, and the strictest air-gapped mandates do not.
What do the two purchases actually cost?
Different currencies. Qwen's weights are free to download; the spend is GPUs and the engineering time to serve them, a standing commitment for as long as the deployment runs. Cody is per-seat enterprise pricing through a sales process, with no public number to plan against. One buys infrastructure and its staff; the other buys a vendor and its roadmap.
Related comparisons
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Tool facts last checked July 2026