---
title: "GLM 5.3 Flash"
route_path: "/model/glm-5.3-flash"
canonical_url: "https://www.pipellm.ai/model/glm-5.3-flash"
markdown_path: "/llms/models/glm-5.3-flash.md"
markdown_url: "https://www.pipellm.ai/llms/models/glm-5.3-flash.md"
content_type: "model-detail-page"
description: "Machine-readable detail page for GLM 5.3 Flash."
generated_at: "2026-10-08T02:59:36.991Z"
---
Canonical page: https://www.pipellm.ai/model/glm-5.3-flash
Markdown mirror: https://www.pipellm.ai/llms/models/glm-5.3-flash.md
Content type: model-detail-page
Generated at: 2026-10-08T02:59:36.991Z
# GLM 5.3 Flash
## Query Intents
- Understand pricing, provider availability, context window, and capabilities for GLM 5.3 Flash.
- Compare GLM 5.3 Flash against other models available through PipeLLM.
- Find the canonical model identifier to use in SDK or API requests.
## Overview
GLM-5.3-Flash is Z.ai's multimodal model for efficient software development and extended agent tasks. It combines text generation with an understanding of images and video, allowing visual information to inform its responses.

Its long-context design supports workflows that carry substantial source material across multiple steps. It is suited to coding assistants and applications that combine reasoning, visual analysis, and tool-driven execution.
## Model Metadata
- Display name: GLM 5.3 Flash
- Model ID: glm-5.3-flash
- Provider family: OpenAI
- Release date: Unknown
- Context window: 1000K
- Max output: 128K
- Input modalities: text
- Output modalities: text
- Tool use support: Yes
- Computer use support: No
- Cache control support: No
## API Integration
Supported call formats through PipeLLM converter routes:
- [OpenAI](https://docs.pipellm.ai/converter/openai-format): `/openai/v1/chat/completions`
- [Responses](https://docs.pipellm.ai/converter/responses-format): `/responses/v1/responses`
- [Anthropic](https://docs.pipellm.ai/converter/anthropic-format): `/anthropic/v1/messages`
- [Gemini](https://docs.pipellm.ai/converter/gemini-format): `/gemini/v1beta/models/{model}:generateContent`

Responses conversion is stateless: use store=false and replay complete output items, including reasoning.encrypted_content, for tool continuations. See the Responses documentation for supported fields and Gemini 3 signature limitations.
## Official Pricing (per 1M tokens)
| Metric | <=200K Context | >200K Context |
| --- | --- | --- |
| Input Price | $0.16 | — |
| Output Price | $0.53 | — |
| Cache Read | $0.03 | — |
| Image Input | $0 | — |
| Image Output | $0 | — |

## Provider Availability
| Provider | Region | Context Window | Max Output | Input Price | Output Price | Cache Read | Cache Write |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Tokenhub | — | 1000K | 128K | $0.16 | $0.53 | $0.03 | — |

## Documentation
Send an authenticated POST request to https://api.pipellm.ai/v1/chat/completions with model set to glm-5.3-flash.