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Text model

GLM-5.3 Prime

z-ai/glm-5.3-prime

z-ai/glm-5.3-prime is a language model from Z.ai you can call on the OceanToken API, with a 1M-token context window and up to 131K output tokens; it supports reasoning, tool calling.

Price card, similar models and questions answered: GLM-5.3 Prime on oceantoken.ai.

At a glance

Model IDz-ai/glm-5.3-prime
TypeText
PublisherZ.ai
Context window1,000,000 tokens
Max output131,072 tokens
PriceOn oceantoken.ai
Capabilitiesreasoning, tool calling
Endpoint/v1/chat/completions, /v1/responses
API shapeOpenAI-compatible
In the catalog since2026-09-23

API

POST /v1/chat/completions (also /v1/responses and /v1/messages). Base URL https://api.oceantoken.ai, your OceanToken key as the bearer token. The OpenAI SDKs work unchanged; see the Quickstart.

Download this spec (JSON) · llms.txt for AI assistants

Basic

curl https://api.oceantoken.ai/v1/chat/completions \
-H "Authorization: Bearer $OCEANTOKEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-5.3-prime",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'

Request parameters

Only what this model takes. Anything else in the request is left out before it reaches the model.

ParameterTypeDescription
model
required
stringThis model's ID.
messages
required
arrayThe conversation so far: objects with a role (system, user, assistant or tool) and a content, a string or a list of content parts: text, and images, video, audio or files on models that take them.
streamboolean
default false
Send the answer as server-sent events as it is written.
stream_optionsobjectWith stream: {"include_usage": true} adds a last event with the token counts.
max_tokensinteger
1 to 131072
The most tokens to write, reasoning included. max_completion_tokens is accepted as the same thing.
temperaturenumber
0 to 2
default 1
Randomness: lower is more focused, higher more varied.
top_pnumber
0 to 1
default 0.95
Nucleus sampling: only the most likely tokens whose probabilities add up to this are considered.
top_kinteger
1 or more
Only the top_k most likely tokens are considered at each step.
frequency_penaltynumber
-2 to 2
Positive values make the model less likely to repeat the same words.
presence_penaltynumber
-2 to 2
Positive values make the model more likely to move to new topics.
stopstring or arrayUp to 4 strings; the answer ends before any of them.
seedintegerAsk for the same answer to the same request (best effort).
response_formatobject
json_object, json_schema
{"type": "json_object"} for JSON output, or {"type": "json_schema", "json_schema": {"name": ..., "schema": {...}}} for output that matches your schema.
toolsarrayFunctions the model may call: {"type": "function", "function": {"name", "description", "parameters"}}.
tool_choicestring or objectauto (default), none, required, or {"type": "function", "function": {"name": ...}}.
parallel_tool_callsbooleanfalse asks for at most one tool call per turn.
reasoning_effortstring
low, high, max
default "max"
How much the model thinks before answering. This model always reasons; the level sets how much: low less reasoning, faster; high more reasoning, slower; max the most reasoning.
logprobsbooleanReturn the log probability of each output token.
top_logprobsinteger
0 to 20
With logprobs: how many alternatives to return per token.
userstringYour own ID for the end user, for your records.

Response

FieldTypeDescription
idstringThe request's ID.
choices[].message.contentstringThe answer.
choices[].message.reasoning_contentstringThe model's reasoning, on models that return it.
choices[].message.tool_callsarrayThe tools the model wants called, with JSON arguments.
choices[].finish_reasonstringstop, length (hit max_tokens), tool_calls or content_filter.
usage.prompt_tokensintegerInput tokens, media included.
usage.completion_tokensintegerOutput tokens, reasoning included.
usage.prompt_tokens_details.cached_tokensintegerInput tokens read from the prompt cache.
usage.completion_tokens_details.reasoning_tokensintegerOutput tokens spent reasoning.

With stream: true, chat.completion.chunk events carry choices[].delta; the stream ends with data: [DONE].

Example response
{
"id": "chatcmpl-...",
"object": "chat.completion",
"created": 1792000000,
"model": "z-ai/glm-5.3-prime",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "...",
"reasoning_content": null,
"tool_calls": null
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 20,
"total_tokens": 32,
"prompt_tokens_details": {
"cached_tokens": 0
},
"completion_tokens_details": {
"reasoning_tokens": 0
}
}
}

More examples and how errors and billing work: Text generation.

Compared with similar models

Text models on OceanToken in the same price range as z-ai/glm-5.3-prime. Compare their prices on oceantoken.ai.

ModelPublisherContext
GLM-5.3 Prime
z-ai/glm-5.3-prime
Z.ai1,000,000
MiMo V2.6 Pro Ultraspeed
xiaomi/mimo-v2.6-pro-ultraspeed
Xiaomi1.05M
Gemini 3.5 Flash
google/gemini-3.5-flash
Google1.05M
GPT-4.1
openai/gpt-4.1
OpenAI1.05M

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The facts on this page were read from the live OceanToken catalog on 2026-11-05 (UTC), when the documentation was built. Prices are published on oceantoken.ai.