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All models

Zhipu AI · GLM

GLM-5.3-Flash

zhipuai/glm-5.3-flash

Open MIT-licensed multimodal GLM model with 320B total and 18B active parameters, a million-token context, hybrid sparse and linear attention, and first-party API access.

Open weightsReasoningTool callingStructured outputTemperature

Model specifications

Context window
1.05M tokens
Output limit
164K tokens
Release date
2026-08-25
Input modalities
text, image, video
Output modalities
text
Last updated
2026-08-27

Provider pricing

USD per 1M tokens. Limits may differ from the underlying model.

Checked 2026-08-28

Z.AI API

glm-5.3-flash

Input
-
Output
-
Context
1.05M

Self-hosted

zai-org/GLM-5.3-Flash

Input
-
Output
-
Context
1.05M
ProviderModel IDInputOutputContext
Z.AI APIglm-5.3-flash--1.05M
Self-hostedzai-org/GLM-5.3-Flash--1.05M

Promotions, plan quotas, cache pricing and regional taxes are not included. Recheck the provider before purchase.

GLM-5.3-Flash FAQ

Is GLM-5.3-Flash an open-weight model?

Yes. GLM-5.3-Flash is tracked as open weight; review the linked license and model source before redistribution or production deployment.

What is the context window for GLM-5.3-Flash?

GLM-5.3-Flash has a tracked context window of 1.05M tokens and a maximum output of 164K tokens. Provider limits can be lower.

What input does GLM-5.3-Flash support?

The current record lists text, image, video input and text output. Check the exact provider route before relying on a modality in production.

How much does GLM-5.3-Flash cost?

This page compares 2 tracked provider offerings in USD per 1M tokens where public prices are available. Promotions, cache rates, taxes and plan quotas may differ.

Sources

GLM-5.3-Flash official model cardConfirms MIT weights, first-party API access, native multimodality, 320B/18B active architecture, 1M context configuration, hybrid attention and supported deployment paths.

Record status

Lab
Zhipu AI
Family
GLM
Providers shown
2
Last checked
2026-08-28

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