GLM-5.3-FlashX

glm-5.3-flashx

GLM-5.3-FlashX is a high-speed multimodal model from Z.ai, designed for fast, responsive inference while retaining the core capabilities of GLM-5.3-Flash. It supports text, image, video, and file inputs, with a context window of up to 1 million tokens. The model performs well across coding, agentic workflows, visual understanding, long-context tasks, and complex reasoning, making it a strong choice for real-time AI applications that require both speed and intelligence.

Context Window

1M tokens

Maximum Output

131.1K tokens

Release Date

Sep 18, 2026

Modalities

GLM-5.3-FlashX Pricing

Input PriceOutput PriceCache Read
$0.2857/M$1/M$0.0814/M

GLM-5.3-FlashX API Capabilities

Reasoning

Supported

Tool calling

Supported

Temperature parameter

Supported

Attachments

Supported

Knowledge Base

Endpoint Protocols

Completions API

GLM-5.3-FlashX Model Highlights

Faster inference, native visual understanding, and extensive context.

High-Speed Inference

The provider advertises inference speeds up to 200 tokens/s for this accelerated Flash variant; actual throughput depends on serving conditions.

Native Visual Reasoning

Combines text, image, video, and file understanding with coding workflows, using visual feedback to inspect and refine generated results.

Million-Token Context

Official specifications list a 1M-token context window and up to 128K output tokens, supporting extensive source material and detailed responses.

GLM-5.3-FlashX Use Cases

Practical workflows grounded in the provider’s documented capabilities.

Visual Frontend Development

Turn visual references into interfaces, then use screenshots and browser feedback to refine layout and interaction through connected development tools.

Professional Document Workflows

Organize source material into reports, presentations, and spreadsheets, using external tools to create files and visual feedback to review their presentation.

Video Analysis And Editing Plans

Analyze video material, identify relevant segments, and prepare summaries or editing instructions for execution by connected media tools.

How to Use GLM-5.3-FlashX via the TokenHub API

Create API key
import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)

GLM-5.3-FlashX Media and Demos

Verified public posts and videos, including explicitly labeled Flash-family material. Community claims are not official benchmarks.

X (Twitter)

FeiZ ·

A community post discussing FlashX’s launch, advertised speed, and pricing relative to Flash.

View original
View post on X

lifcc ·

A community comparison of FlashX and Flash, also discussing Coding Plan availability.

View original
View post on X

Sigma ·

A community launch recap highlighting FlashX serving speed and infrastructure optimization.

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View post on X

Reddit

maedahbatool

Command Code announces FlashX availability and describes its speed, context, and multimodal inputs. The offer concerns Command Code.

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storknotfound

Flash-family background: a community report on quantized GLM-5.3-Flash running on a DGX Spark. These local measurements do not characterize FlashX API performance.

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pmv143

Flash-family background: InferX shares usage observations comparing GLM-5.3-Flash with DeepSeek V4.1 Flash. This is provider-specific activity, not a FlashX quality benchmark.

View original

YouTube

AI产品狙击手 kzhu

A community evaluation of GLM-5.3-FlashX using the Pi tool.

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Watch on YouTube

AI 风向标

An AI news video covering the FlashX launch and its advertised generation speed.

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Watch on YouTube

智用AI

Flash-family background: a discussion of GLM-5.3-Flash architecture, context, and local deployment. This is not a FlashX API benchmark.

View original
Watch on YouTube

GLM-5.3-FlashX FAQs

Capabilities, tradeoffs, availability, and integration guidance.

What is GLM-5.3-FlashX?+

It is Z.ai’s accelerated serving variant of GLM-5.3-Flash, combining native multimodal understanding with coding and agent capabilities. Its output modality is text.

Which workloads suit GLM-5.3-FlashX?+

Consider it for visual frontend development, document production, and video analysis. Native visual understanding and a 1M-token context help combine source material with iterative feedback.

What limitations should I consider?+

The official API requires thinking to remain enabled. Advertised speed is not a latency guarantee. Creating files or operating software requires connected tools, and generated results still need review.

How do I use GLM-5.3-FlashX through TokenHub?+

Check that your TokenHub account offers this model, then use the model identifier, endpoint, and API key shown by TokenHub. The provider’s identifier is glm-5.3-flashx; TokenHub routing and supported inputs should be confirmed separately.

Is GLM-5.3-FlashX included in GLM Coding Plan?+

As verified on September 20, 2026, BigModel documentation states that FlashX is not yet included in GLM Coding Plan. API access is documented separately. Check TokenHub for its own availability and current rates.

When should I choose GLM-5.3-FlashX over standard Flash?+

Choose it when faster generation materially improves interactive coding or repeated agent steps. Compare actual completion time, output quality, and current provider charges on representative workloads before choosing.

Ready to use GLM-5.3-FlashX?

Use one API key to access GLM-5.3-FlashX and more AI models through TokenHub.

Create API key