Back to models
Chat Models

Z.ai

GLM-4-32B-0414-128K

Best Value

Older 32B text model with 128K context, 16K output and low direct API rates for instruction-following tasks.

Text128K context
Open AppBrowse All Models

At a glance

Know the model before you prompt.

Z.ai API specifications
Context window
128K
Maximum output
16K
Inputs → output
Text → Text
Knowledge cutoff
Not verified

API model ID: glm-4-32b-0414-128k

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

  • 128K text context in the dedicated model guide
  • 16K maximum output, distinct from later GLM families
  • Instruction following and code-related text tasks
  • Function calling and structured output documented for integrations

Before you choose

  • This guide describes Z.ai-hosted API behavior. It does not establish license terms, self-hosted performance or identical limits for separately distributed weights.
  • 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.

Non-reasoning model

This model does not expose the later GLM-4.5-and-newer thinking switch in the reviewed API schema. It can perform reasoning tasks in text, but do not send later-family thinking or effort controls without documented support.

  • The full dated API ID is glm-4-32b-0414-128k. It is not an alias for a later GLM-4.5 or GLM-5 model.
  • The pricing table lists $0.10 input and $0.10 output per million tokens, with no published cached-input rate for this row.
  • 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 bounded record set

Check an older model with explicit source fields.

Extract the fields in this schema from the supplied text records. Preserve record IDs, include source references and use null for missing values. Do not infer dates, names or amounts from neighboring records. Return a separate list of ambiguous cases that need review before database entry.

Workflow 02

Review a small utility function

Keep code assistance focused and testable.

Inspect this utility function and its stated contract. Identify concrete input cases that violate the contract, explain the relevant code path and propose the smallest fix. Provide boundary tests and expected outcomes, separating predicted behavior from results actually supplied in this conversation.

Workflow 03

Compare instruction-following candidates

Use one scorecard across model generations.

Build an evaluation from these representative writing and extraction requests. Define exact constraints, acceptable answers, error categories and a scoring method. Keep the test prompts identical across candidate models, and include latency and usage fields without filling in invented scores.

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$0.10
Output$0.10
  • 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.

What does the long model name identify?

It is the documented dated model identifier. Preserve the complete API name rather than shortening it to an ambiguous GLM-4 label.

Does it use the newer thinking switch?

The reviewed API restricts that switch to GLM-4.5 and newer families. This guide does not assign those controls to the older 32B model.

Is cached input free?

No free cache rate is established. The official pricing row shows no cached-input rate; missing data must not be converted to zero.

Do these API limits apply to self-hosted weights?

Not necessarily. This guide covers the hosted endpoint. Licensing, hardware requirements, runtime behavior and limits for self-hosting need separate verification.

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-Flash

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

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.