Z.ai
Best Value
Paid lightweight vision tier with 128K context, 32K output and native function calling at low API token rates.
At a glance
API model ID: glm-4.6v-flashx
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Use thinking.type enabled or disabled. Thinking is enabled by default; the exact decision to reason depends on the model and request. Evaluate both modes using the same acceptance criteria. Do not assume GLM-5.3's low/high/max effort controls apply to this model.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Keep uncertain extraction out of automated actions.
Extract merchant, date, currency and total from each supplied receipt image. Include the image ID and visible supporting text, and mark blurred or conflicting fields as unknown. Flag possible duplicates without deleting anything. Return a review queue; do not approve expenses or infer missing totals.
Workflow 02
Use a repeatable checklist for many images.
Evaluate these product images against the supplied quality checklist. For each image list visible failures, uncertain checks and the next reviewer action. Reference the affected region and avoid inferring facts outside the frame. Do not alter, publish or remove any image.
Workflow 03
Separate model errors from integration errors.
Compare these source images, extracted fields and downstream validation results. Identify whether each mismatch comes from unreadable evidence, incorrect extraction or a schema mapping problem. Cite the source, propose focused test cases and require human review for unresolved records before any tool action.
Developer reference
These are Z.ai direct API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.04 |
| Cached input | $0.004 |
| Output | $0.40 |
Common questions
No. The official table lists paid rates for GLM-4.6V-FlashX. The similarly named GLM-4.6V-Flash is a different, free-priced entry.
That is the published per-million-token rate. Rounding to two decimals would make a paid rate look like zero.
The API includes the GLM-4.6V family in its native function-tool support and lists the FlashX ID. The integration must still validate and execute calls.
No. The overview lists 128K context for this model and the API gives the GLM-4.6V series a 32K output ceiling. GLM-4.5V has 64K context and 16K output.
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.
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.
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
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
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