---
title: "GLM-5.3 Flash | AI Models | Inference.net"
description: "Run GLM-5.3 Flash (Z.ai) on Inference.net. 1.049M context. tool-calling, vision input, reasoning. Deploy with an OpenAI-compatible API and pay-per-token pricing."
url: "https://inference.net/models/glm-5.3-flash/"
---

Z.ai Reasoning Model

# GLM-5.3 Flash

Z.ai's GLM-5.3 Flash: a fast open-weight reasoning model with image input, a 1M-token context, and 131K max output. Reasoning effort is selectable from none through max, with prompt caching for high-volume agentic and coding workloads.

[Get Started](https://inference.net/signin/) [Documentation](https://docs.inference.net)

Model details

Developed by Z.ai

Size 320B parameters

Context window 1024K tokens

Max output 256K tokens

Model API pricing Per 1M tokens

Input $0.10

Cache read $0.03

Output $0.45

[See all pricing](https://inference.net/pricing/)

```
import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: "<YOUR_API_KEY>",
});

const completion = await openai.chat.completions.create({
  model: "glm-5.3-flash",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}
```

Prompt caching

1. Keep the prompt prefix byte-identical across calls: same text, same order.
2. Pass a stable prompt_cache_key string. It is a routing-affinity hint; it does not create or identify cached content.
3. Check usage.prompt_tokens_details.cached_tokens in the response to confirm cache reads.

```
{
  "model": "gpt-4o",
  "prompt_cache_key": "v1-stable-prefix",
  "messages": [{ "role": "user", "content": "..." }]
}
```

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Model

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[MiniMax M3.1 Flash 977K input context Vision Tools Reasoning $0.10 / $0.50](https://inference.net/models/minimax-m3.1-flash/)

[Nemotron 3 Super 256K input context Tools $0.102 / $0.48](https://inference.net/models/nemotron-3-super/)

[Schematron V2 Small 125K input context $0.05 / $0.23](https://inference.net/models/schematron-v2-small/)

[Schematron V2 Turbo 125K input context $0.03 / $0.15](https://inference.net/models/schematron-v2-turbo/)

## Start building with GLM-5.3 Flash today

Serverless, OpenAI-compatible, and billed per token. No commitments.

[Get Started](https://inference.net/signin/) [Read the docs](https://docs.inference.net)