> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anyfast.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# GLM-5.3

> Preview Zhipu AI's GLM-5.3 flagship text model, featuring a 1M-token context window, up to 128K output tokens, and stronger coding, agent, and cybersecurity capabilities.

<Warning>
  The GLM-5.3 model API is coming soon. Stay tuned. AnyFast does not currently accept requests using `glm-5.3`.
</Warning>

GLM-5.3 is Zhipu AI's latest flagship foundation model. It uses the same base model as GLM-5.2 and scales post-training with more varied, long-horizon environments to improve coding, agent workflows, complex project delivery, and cybersecurity tasks.

## Model overview

| Property           | Value                     |
| ------------------ | ------------------------- |
| Positioning        | Flagship foundation model |
| Input modality     | Text                      |
| Output modality    | Text                      |
| Context window     | 1M tokens                 |
| Maximum output     | 128K tokens               |
| AnyFast API status | Coming soon               |

## Supported capabilities

According to Zhipu AI's official model documentation, GLM-5.3 supports:

* **Thinking modes** — Supports reasoning-oriented workflows
* **Streaming** — Delivers generated text incrementally
* **Function calling** — Uses external functions and tools
* **Context caching** — Reuses eligible context to improve long-context efficiency
* **Structured output** — Produces machine-readable structured responses
* **MCP** — Integrates with Model Context Protocol tools and data sources

<Note>
  These are upstream model capabilities published by Zhipu AI. The exact parameters and features exposed by AnyFast will be documented when the GLM-5.3 API becomes available.
</Note>

## What's new in GLM-5.3

### Stronger coding and agent performance

Zhipu AI reports that GLM-5.3's perceived coding experience improves by 50% compared with the previous generation. Its published benchmark results include:

| Benchmark          | GLM-5.2 | GLM-5.3 |
| ------------------ | ------: | ------: |
| Terminal-Bench 3.0 |     4.6 |    28.3 |
| DeepSWE v1.1       |    46.2 |    66.9 |
| Agents' Last Exam  |    23.8 |    28.5 |

GLM-5.3 is designed for long-running engineering tasks involving tens of thousands of lines of code, hundreds of files, and multiple dependent systems. It can repeatedly analyze, implement, test, and refine a project with less manual intervention.

### Complete expert workflows

Post-training expands beyond isolated coding exercises to full professional workflows: discovering issues, analyzing requirements, implementing changes, verifying results, and delivering the final output. This improves its ability to complete complex, multi-stage tasks rather than only generating individual code snippets.

### Cybersecurity capabilities

Zhipu AI highlights improvements in white-box code review, vulnerability discovery, and exploit-oriented evaluation. Its published GLM-5.3 scores include 84.5% on CyberGym and 54.4% on ExploitBench, compared with 24.4% for GLM-5.2 on ExploitBench.

## Availability

The GLM-5.3 API is not yet available through AnyFast. When it launches, this page will be updated with the AnyFast model ID, supported parameters, request examples, and an interactive API reference.

Zhipu AI states that GLM Coding Plan already supports GLM-5.3. You can learn more on the [GLM Coding Plan page](https://www.bigmodel.cn/glm-coding).

## Official reference

* [Zhipu AI GLM-5.3 model documentation](https://docs.bigmodel.cn/cn/guide/models/text/glm-5.3)

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