Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Supported API features and tools
Text-based model optimized for OpenClaw-style agent workflows
200K context and 128K maximum output in its dedicated guide
Tool invocation and instruction-following focus
Long-chain task planning and streaming through supported 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.
This is a text-input guide. Supply extracted text for document analysis; do not assume the model can directly inspect images, videos or attached files just because other GLM models can.
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.
The dedicated guide names glm-5-turbo, while the current central API enumeration omits it. Treat the documented identifier separately from confirmed live access.
A timed or persistent task requires the surrounding agent application. A prompt cannot create a background scheduler or grant tool permissions.
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
Audit an agent workflow
Make tool boundaries explicit before execution.
Review this proposed agent workflow, tool schemas and permission list. Identify ambiguous instructions, missing confirmations and steps whose outputs are not validated. Propose a safer sequence with explicit success and stop conditions. Do not call tools; return an implementation checklist for the integration owner.
Workflow 02
Design a durable task checkpoint
Separate persistent orchestration from model text.
Given this long-running task specification, design checkpoints containing completed work, source evidence, remaining actions and retry limits. Mark operations that need idempotency or human approval. Explain what the runtime must persist and schedule; do not imply the model itself can keep running after the request ends.
Workflow 03
Improve a tool-call contract
Reduce ambiguity in action requests.
Inspect the supplied function schemas and example calls. Find missing required fields, ambiguous units and unsafe defaults. Propose small schema changes and test cases for valid, invalid and repeated requests. Keep the business logic unchanged and do not claim that schema validation proves the action succeeded.
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.
Why is the current price unverified?
The dedicated guide is still readable, but the current official pricing table omits GLM-5-Turbo. The base GLM-5 price must not be substituted.
Does omission mean the model is retired?
Not by itself. No verified retirement notice is asserted here. Confirm account access, endpoint support and commercial terms with Z.ai.
What distinguishes Turbo from base GLM-5?
Its dedicated guide emphasizes OpenClaw-oriented tool invocation, persistent tasks and long-chain execution. It documents 200K context and 128K output, but is a distinct API identifier.
Can it schedule tasks without an integration?
No. Scheduling, persistence and tool execution are responsibilities of the surrounding application. The model can help plan actions but does not establish those product features.
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.