Qwen3-Coder vs GLM-5
Code-focused model families compared
Qwen3-Coder and GLM-5 are model releases for coding and agentic work, rather than complete agent applications. Qwen3-Coder emphasizes code-focused checkpoints and long-context coding, while GLM-5 documents a broader set of model generations, serving options, and fine-tuning references.
Qwen3-Coder: Generate Code and Power Coding Agents
Qwen3-Coder is Qwen’s family of code-focused language models for code generation, repository-scale understanding, and agentic development tasks. It offers open-weight checkpoints in several sizes, with context lengths up to 256K tokens.
GLM-5: Z.ai Models for Long-Horizon Agentic Engineering
GLM-5 is Z.ai’s open-weight model family for complex systems engineering, coding, and long-horizon agentic tasks. Download model weights or use supported serving frameworks, with model variants designed for different capabilities and efficiency needs.
| Qwen3-Coder | GLM-5 | |
|---|---|---|
| Language | Python | — |
| License | — | Apache-2.0 |
| Stars | 16.8k | 7.4k |
| Forks | 1.3k | 1k |
| Last analyzed | Oct 3, 2026 | Oct 28, 2026 |
Key differences
- Qwen3-Coder offers instruct and base checkpoints in multiple sizes, while GLM-5 covers five named model variants across generations.
- Qwen3-Coder supports context up to 256K tokens, with README-described extension to 1M using YaRN; GLM-5.2 documents a 1M-token context.
- Qwen3-Coder lists code generation, fill-in-the-middle completion, and support for 358 coding languages; GLM-5 highlights software engineering, debugging, and terminal-based tasks.
- GLM-5 documents serving references for SGLang, vLLM, Transformers, KTransformers, and other frameworks, plus fine-tuning through Slime and ms-swift; Qwen3-Coder includes a Transformers loading example and tool-use integration notes.
- Qwen3-Coder identifies Python as its language and has 16.8k stars; GLM-5 has 7.3k stars and lists an Apache-2.0 license.
- Qwen3-Coder describes model sizes including 30B-A3B and 480B-A35B variants; GLM-5 specifies 744B total and 40B active parameters for GLM-5.
Choose Qwen3-Coder if you…
- need code-focused checkpoints for generation, completion, or repository-scale work.
- want to evaluate multiple model sizes, including FP8 or GGUF variants where available.
- are building a coding agent and can provide an external runtime or tool integration.
Choose GLM-5 if you…
- need references for serving and fine-tuning across documented frameworks.
- want to compare GLM-5 generations for long-running coding or agent workflows.
- need the listed Apache-2.0 license or the documented GLM-5 parameter details.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.