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Zhipu AI: GLM-5.3-Flash

Native multimodal GLM model for efficient coding and long-horizon agent tasks
Compare models
glm-5.3-flash
AvailableZhipu AIChat
Input / Output
$0.15 / $0.50
Context
1M
Max output
128K
Modalities
VisionChat
Capabilities
Tool usePrompt Cache

About GLM-5.3-Flash

GLM-5.3-Flash is the first natively multimodal model in Z.ai's GLM-5 series, accepting video, images, text, and files and answering in text. Z.ai says it is stronger than GLM-5.2 at a very low cost, scoring 63.4 against 46.2 on DeepSWE v1.1. It suits visual coding and long-horizon agent tasks on a budget.

Where it works well

  • Z.ai reports 63.4 on DeepSWE v1.1, against 46.2 for GLM-5.2, at a much lower price point.
  • Native multimodal input covers video, images, text, and files in one request.
  • Visual coding turns UI screenshots into working front ends, and Z.ai also lists Office documents, financial analysis, and 3D scenes.
  • Thinking mode, function calling, context caching, and structured JSON output are available.

When to choose another model

  • It outputs text only; it describes or codes a scene but does not generate images or video.
  • GLM-5.3 remains the flagship for the hardest coding tasks; Flash trades some depth for lower cost.

Getting started

  1. Create API key

    Create a key in Console, then use it with every model on the platform.

  2. Send your first request

    Copy the example for your language and run it against the endpoint.

    Text to textResponses API
    POST/v1/responses
    API format:
    curl https://api.tokenlab.sh/v1/responses \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer sk-xxx" \
      -d '{
        "model": "glm-5.3-flash",
        "input": "Hello!"
      }'

Pricing

The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.

List Price

per 1M tokens
Official price
Input $0.15 / Output $0.50 / Cache read $0.03
Verified price
—
Discount
—
Prompt cache pricing

Cache read

Official price
$0.03
Verified price
—
Discount
—

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours
Requests
Success rate
P95 latency
Total tokens
Model performance
30-day success rate
100.0%
30-day requests
100+
Last active
3 days ago

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open GLM-5.3-Flash in Console with a prompt ready to edit or send.

Help me try glm-5.3-flash with a short message at /v1/responses. Show the reply, latency, and cost.

Use cases

Best for
  • Vision
  • Screenshot to front end

    Send a design mock-up or UI capture and get HTML, CSS, and component code that recreates it.

  • Document and spreadsheet work

    Read PDFs and Office files, extract figures, and draft financial summaries with structured JSON output.

  • Budget coding agents

    Run many agent iterations where the lower cost per task decides whether the workflow is viable.

Prompt examples

Recreate this Figma screenshot as a responsive React component with Tailwind classes.

Read the attached quarterly report PDF and return revenue by segment as JSON.

Watch this screen recording of the bug and write a test that reproduces it.

This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.

FAQ

What exactly is GLM-5.3-Flash?

It is Z.ai's natively multimodal, low-cost GLM-5.3 variant for coding and agent work. It reads video, images, text, and files and returns text, with thinking mode and function calling available.

How does GLM-5.3-Flash differ from GLM-5.3-FlashX?

They share capabilities and modalities. FlashX is the faster serving option, with Z.ai quoting about 200 tokens per second, while Flash is the standard variant that Z.ai has integrated into its coding plan.

Is GLM-5.3-Flash better than GLM-5.2?

Z.ai reports it outperforming GLM-5.2 on DeepSWE v1.1, 63.4 against 46.2, and adds native vision. Flash is the stronger starting point for new work, particularly when images are involved.

Can it return JSON?

Yes, structured JSON output is supported, which helps when extracting fields from documents, forms, or screenshots into a fixed schema that downstream code can parse directly.

How much does GLM-5.3-Flash cost?

On TokenLab, GLM-5.3-Flash costs Input $0.15 / Output $0.50 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What are the context window and output limit of GLM-5.3-Flash?

GLM-5.3-Flash accepts up to 1,000,000 tokens of context and returns up to 131,072 tokens in one response.

Which endpoint should GLM-5.3-Flash use?

Use https://api.tokenlab.sh/v1/responses for GLM-5.3-Flash. The request example below shows the matching code shape.

Which operations does GLM-5.3-Flash support?

GLM-5.3-Flash supports Text to text. Select an operation above to see its endpoint and request example.

Compare GLM-5.3-Flash

Sources

Reviewed Oct 2, 2026

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