Autonomous coding and engineering with a 1M token context
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Tracked since2026
The Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Open-weights coding LLM from Z.ai (formerly Zhipu AI), MIT-licensed and free to self-host from Hugging Face.
- 753 billion parameters with a 1-million-token context window, tuned for long-horizon autonomous coding.
- Scores 62.1 on SWE-bench Pro, ahead of other advanced models, at about one-sixth the cost.
Pros
- Open weights under a permissive MIT license; download, fine-tune, and self-host freely
- 1-million-token context window for large codebases and long agent runs
- Strong coding benchmarks (SWE-bench Pro 62.1, Terminal-Bench 2.1 81.0)
- Roughly one-sixth the cost of comparable proprietary models
- Runs in 20+ coding environments plus the Z.ai API
Cons
- Running the full 753B model locally needs serious GPU hardware
- The hosted Z.ai API routes data through a China-based provider, a compliance consideration for some teams
- Newer model with a smaller tooling ecosystem than established providers
What is GLM-5.2?
GLM-5.2 is an open-weights large language model from Z.ai (formerly Zhipu AI), built for long-horizon autonomous coding and engineering. Released under a permissive MIT license with 753 billion parameters and a 1-million-token context window, it can be downloaded from Hugging Face and self-hosted, or used through the Z.ai API and 20+ coding environments. On SWE-bench Pro it scores 62.1, ahead of other leading models, at roughly a sixth of the cost. API access is $1.40 per million input tokens and $4.40 per million output tokens, and coding plans offer paid tiers.
LCLouis CorneloupSourcez.ai ↗
Key Features
- Advanced AI chatbot capabilities
- Intelligent agent functionality
- Context-aware conversations
- Automated task execution
- Customer interaction enhancement
Pricing
Freemium
GLM-5.2 offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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GLM-5.2 FAQ
How does GLM-5.2 support autonomous coding and engineering tasks?
GLM-5.2 is specifically designed for long-horizon autonomous coding and engineering, leveraging its 1-million-token context window to handle large codebases and extended agent runs. It achieves strong performance on coding benchmarks like SWE-bench Pro, where it scores 62.1.
Which teams would benefit most from using GLM-5.2?
Teams that require deep customization and control over their AI models would benefit from GLM-5.2, as its open weights allow for free download, fine-tuning, and self-hosting. It is also well-suited for organizations focused on long-horizon autonomous coding and engineering tasks.
How is GLM-5.2 priced?
GLM-5.2 is available on a free tier, with paid plans offering more usage and features. API access is priced at $1.40 per million input tokens and $4.40 per million output tokens, and coding plans also offer paid tiers.
Can GLM-5.2 be integrated into existing development workflows?
Yes, GLM-5.2 can be integrated into existing development workflows as it runs in over 20 coding environments. It is also accessible through the Z.ai API, offering flexibility for developers.
What kind of hardware is needed to run GLM-5.2 locally?
Running the full 753 billion parameter GLM-5.2 model locally requires serious GPU hardware. Alternatively, users can access the model through the Z.ai API or utilize its open weights for self-hosting.
How does GLM-5.2 compare to Sourcegraph Cody in terms of cost?
GLM-5.2 offers a cost advantage, being roughly one-sixth the cost of comparable proprietary models. Its API access is priced at $1.40 per million input tokens and $4.40 per million output tokens.
What are the advantages of GLM-5.2's open-weights model?
The open-weights nature of GLM-5.2, released under an MIT license, allows users to download, fine-tune, and self-host the model freely. This provides significant flexibility and control over the AI's deployment and customization.
Source: z.ai