Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Supported API features and tools
Multimodal coding with video, image, text and file inputs
200K context and 128K maximum text output
Screenshot-to-code and visual debugging scenarios
Visual grounding and agent-oriented action planning described in its guide
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.
Reasoning behavior
The dedicated guide documents thinking capability, but the current central API model list omits this Turbo ID. Confirm accepted controls and defaults on the actual endpoint before integration; this guide does not inherit forced thinking or effort levels from GLM-5.3.
Use the dedicated vision guide, not the base GLM-5 text guide, for supported inputs and request examples.
Current central API enumeration and pricing omit glm-5v-turbo. Do not infer retirement, current tool-schema support or live access solely from an older example.
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
Turn a screenshot into a patch plan
Link visible defects to supplied component code.
Compare this screenshot with the supplied component code and requirements. Identify visible defects, cite the relevant element and likely code location, and propose a minimal patch plan. Keep uncertain causes separate from observed problems. Preserve the current branding and list interactive tests needed to validate the result.
Workflow 02
Map a visual task safely
Require confirmation before consequential actions.
Using these interface screenshots and the stated goal, describe a step-by-step interaction plan. For each step identify the visible target, expected result and condition that should stop the workflow. Flag submissions, purchases and irreversible changes for human confirmation. Do not claim that any action has been executed.
Workflow 03
Check a recorded UI regression
Use frame evidence without guessing hidden state.
Review this supplied interface recording against the acceptance criteria. Identify the first visible divergence, cite its frame or timestamp and propose likely explanations supported by the accompanying code. Separate observation from inference and provide a short reproducible test plan without assuming access to the running app.
Developer reference
Z.ai API pricing
These are Z.ai direct API reference prices, not EZ Ai Assist subscription prices.
Current direct API prices for this Turbo ID are not listed in the reviewed Z.ai pricing table. Rates remain unverified; do not substitute GLM-5 or GLM-5.3 prices. Confirm pricing and access with the provider.
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.
No separate permanent storage entitlement is implied. A missing cache rate is not a zero-priced cache feature; confirm the current provider terms.
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 this the same as GLM-5-Turbo?
No. The dedicated GLM-5V-Turbo guide describes multimodal coding and visual inputs. GLM-5-Turbo is documented as text input.
Are current API prices available?
The reviewed current Z.ai table does not list this ID. Rates remain unverified rather than being borrowed from another Turbo or vision model.
Can it operate a GUI by itself?
The guide describes visual agent scenarios, but an integration must execute actions, manage state and enforce permissions. A screenshot analysis is not an executed interaction.
What does video support produce?
The documented output is text, such as analysis, descriptions or structured observations. It does not imply native video generation or guaranteed input support in your app.
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.