Back to models
NewChat Models

Z.ai

GLM-5.3-Flash

Best Value

Native multimodal GLM-5 model for images, video, files and text with 1M context and low API token rates.

Multimodal1M context
Open AppBrowse All Models

At a glance

Know the model before you prompt.

Z.ai API specifications
Context window
1M
Maximum output
128K
Inputs → output
Text + Images + Video + Files → Text
Knowledge cutoff
Not verified

API model ID: glm-5.3-flash

Capabilities & boundaries

What it supports. Where the limits are.

Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.

Supported API features and tools

  • Native image, video, file and text understanding
  • 1M context and a published 128K output limit
  • Always-on reasoning with low, high and max effort
  • Function calling and streaming through supported API integrations

Before you choose

  • Context and output limits use the provider's published K/M units. They are capacity ceilings, not a guarantee of complete recall or a final answer of that length. A model-specific knowledge cutoff was not verified.
  • Visual and file inputs support understanding with text output, not native image, video or audio generation. File format, size and ingestion requirements depend on the endpoint and app integration.
  • Answers and proposed code still need validation. A tool call is a request for an integration to execute an action, not proof it ran. Keep approvals around consequential changes and check results against source evidence.

Choose the reasoning effort

lowhighmax · default

Thinking is always enabled and cannot be disabled. Set reasoning_effort to low, high or max; max is the default. A disabled thinking.type request is not supported. Lower effort changes the reasoning budget, not the model into a non-thinking endpoint.

  • Image content uses image_url blocks with a URL or Base64 data URL. Follow the dedicated guide for other input types and file handling.
  • The guide documents the same text parameters as GLM-5.3 and recommends temperature 1, top_p 0.95 and max effort; these are provider recommendations, not app settings.
  • Select the exact API identifier shown here. Website slugs use hyphens for URLs and are not substitutes for dotted API model names. API access and the GLM Coding Plan endpoint have different entitlements.
  • For supported interleaved-thinking tool loops, retain the returned reasoning_content with the tool history. Preserved thinking uses thinking.clear_thinking false and unmodified history; its documented defaults differ between the standard API and Coding Plan endpoints. Check model support before enabling it.

Put it to work

Start with a more useful prompt.

Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.

Workflow 01

Extract a document comparison

Keep facts linked to visible evidence.

Compare these supplied documents and images against the decision criteria. Return a table with each fact, source page or image reference, and any uncertainty caused by cropped or unreadable content. Mark missing fields as unknown. Finish with the three facts a human should verify before using the comparison.

Workflow 02

Review a signup screenshot

Separate visible layout from untested behavior.

Inspect this signup screenshot and list confusing labels, visual hierarchy problems and likely small-screen issues. Cite the visible element for each observation. Separate what you can see from behavior requiring an interactive test, and prioritize three small changes that preserve the existing colors and branding.

Workflow 03

Summarize a product walkthrough

Connect a video summary to its source moments.

Review the supplied product walkthrough and write a concise sequence of the actions shown. Include timestamps or frame references where available, flag unclear transitions, and distinguish visible actions from assumptions about the system. End with a verification checklist; do not infer hidden settings or claim to have used the product.

Developer reference

Z.ai API pricing

These are Z.ai direct API reference prices, not EZ Ai Assist subscription prices.

View EZ Ai Assist plans
Standard processing · USD per 1,000,000 tokens
Token typePrice
Input$0.15
Cached input$0.03
Output$0.50
  • Input and output are billed separately per 1,000,000 tokens. Compare actual task usage, retries and latency rather than the input rate alone. These rates are not guaranteed reseller or app prices.
  • Only eligible cache hits receive the cached-input rate. Cached-input storage is listed as limited-time free, not permanently free. Recheck the provider table for storage terms and future changes.
  • The pricing page separately lists built-in Web Search at $0.01 per use. This is a service fee when that tool is used, not a charge on every prompt or a promise that this model or your workspace has automatic search.

Common questions

A few things worth knowing.

Is Flash just a smaller text-only GLM-5.3?

No. Its own guide documents native video, image, text and file inputs with text output. The base GLM-5.3 guide is text-only.

Can Flash skip reasoning for quick tasks?

Thinking cannot be disabled. Use supported effort levels and evaluate latency; a low token price does not mean it is a non-thinking model.

How does FlashX differ?

Z.ai describes FlashX as faster serving for the Flash model, with different input, cached-input and output rates. Compare experienced latency and task success before choosing it.

Does video input mean video generation?

No. The documented output is text. Visual understanding can describe or analyze supplied material but does not make this an image or video generator.

Does the context window guarantee complete recall?

No. A large context is a capacity limit, not an accuracy guarantee. Label sources, split unrelated material, ask for evidence references and test whether important details were omitted. Output also has its own ceiling.

Are these prices the cost of my EZ Ai Assist plan?

No. This is a dated reference to direct Z.ai API token pricing. EZ Ai Assist subscriptions, Z.ai's GLM Coding Plan, optional tools and third-party hosting are separate products with their own terms.

Are all of these capabilities available in the app?

Not necessarily. The guide describes provider documentation, not workspace entitlements or an integration test. Check your model picker, accepted inputs and available controls. None of these examples runs tools or changes external systems by itself.

Check the source

Official documentation

Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.

Same provider

More from Z.ai

Z.ai

GLM-5.3

Text-only flagship for complex coding and agent workflows with 1M context and always-on reasoning.

Z.ai

GLM-5.3-FlashX

Faster-serving GLM-5.3-Flash tier with native multimodal inputs, 1M context and separately priced API access.

Z.ai

GLM-5.2

Text model for long-horizon engineering with 1M context, 128K output and configurable thinking.

Z.ai

GLM-5.1

Text model for sustained engineering and iterative agent workflows with 200K context and optional thinking.