Z.ai: GLM-5

zai/glm-5

Z.ai GLM-5 API pricing

GLM-5 costs $0.400 per million input tokens and $1.28 per million output tokens on Oxyy. These are the pay-as-you-go prices after the current 60% discount (Launch Promo; standard price $1.00 input and $3.20 output), and cached input tokens are billed at $0.080 per million. It accepts text and returns text, with a 200K-token context window and up to 128K output tokens per response. A cheaper Z.ai option is GLM-4.5 at $0.240 / $0.880 per 1M tokens; for every model and rate, see GLM API pricing.

Z.ai's new-generation flagship foundation model for agentic engineering, targeting complex system engineering and long-range agent tasks.
ModalitiesTextText
Price$0.400 / $1.28 per 1M tokens in / outAll GLM API pricing
Context200K
ReleasedFeb 11, 2026

Providers

Where this model runs, and what each route costs. Requests are sent to a healthy provider automatically; if one errors, the gateway retries against another serving the same model.

ProviderInput /MOutput /MCache read /MLatencyThroughput
Z.ai$0.400$1.28$0.08028.93s—

Capabilities (8)

StreamingTool callingStructured outputThinkingReasoningSystem promptPrompt cachingWeb search

Supported parameters (2)

toolsresponse_format

A parameter not listed here may be removed before the request reaches the model. When it is, the request still succeeds and the response names it, with the reason, in provider_specific_fields.dropped_params. Thinking controls work as described below whether or not they are listed.

Thinking

Thinking can be turned off: send reasoning_effort: "none", or thinking: {type: "disabled"}. reasoning_effort takes minimal, low, medium, high, xhigh, max, each mapped to the level the model uses for it where the model's levels are known (sometimes a higher level than the word asked for, or off); when it differs, the response names the level used in provider_specific_fields.dropped_params.

Pricing

What this model costs on Oxyy, pay as you go. "Charged" is the rate a request is billed at; the standard price is shown beside it for reference.

Input price
$0.400
per 1M input tokens · standard price $1.00
Output price
$1.28
per 1M output tokens · standard price $3.20
RateStandard priceChargedUnit
Input$1.00$0.400per 1M input tokens
Output$3.20$1.28per 1M output tokens
Cached input$0.200$0.080per 1M cached input tokens

Discount. Charged rates include the current "Launch Promo" discount of 60% on every rate.

UTC

Specifications

Model ID
glm-5
Developer
Z.ai
Type
Text
Input
Text
Output
Text
Context window
200,000 tokens
Max output
128,000 tokens
Released
Feb 11, 2026
Series
GLM-5
Endpoint
/v1/chat/completions

Best for

ReasoningCodingAgenticOpen weights

Quickstart

Call glm-5 with a POST to /v1/chat/completions on https://api.oxyy.ai, using your Oxyy API key from the OXYY_API_KEY environment variable. The same key works for every model in the catalog.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.oxyy.ai/v1",
    api_key=os.environ["OXYY_API_KEY"],
)

response = client.chat.completions.create(
    model="glm-5",
    messages=[
        {"role": "user", "content": "Explain unified AI APIs in one sentence."},
    ],
)
print(response.choices[0].message.content)

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better). Throughput and TTFT are measured on streaming requests, which are the only ones with a first-token moment to time.

Throughput
—tok/s
P50, streaming requests
Latency
28.93s
P50, end to end
UTC

Throughput

P99—
P95—
P50—

Latency

P5020.2s
P7533.4s
P9544.0s
P9946.1s

Time to first token

P50—
P95—

Cache hit rate

0.00%
Share of input tokens served from the prompt cache over the window.

Availability

The share of requests to this model that completed successfully over the last 30 days. Requests the caller cancelled, and requests still in flight, are not counted. When an upstream provider errors, the gateway retries against another provider serving the same model, so a single provider incident does not necessarily show up here.

Requests (30 days)
37
A success rate is shown from 100 completed requests
Days with traffic
9
of the last 30 days

Frequently asked questions

What is GLM-5?
Z.ai's new-generation flagship foundation model for agentic engineering, targeting complex system engineering and long-range agent tasks.
How much does GLM-5 cost?
GLM-5 costs $0.400 per million input tokens and $1.28 per million output tokens on Oxyy. These are the pay-as-you-go prices after the current 60% discount (Launch Promo; standard price $1.00 input and $3.20 output), and cached input tokens are billed at $0.080 per million. You pay per request, with no subscription.
What is the context length of GLM-5?
GLM-5 has a context window of 200,000 tokens, and can return up to 128,000 tokens in one response.
Does GLM-5 support tool calling and structured outputs?
Yes — GLM-5 supports both tool calling and structured outputs.
What inputs and outputs does GLM-5 support?
GLM-5 accepts text as input and returns text.
Which API endpoint does GLM-5 use?
Send a POST request to https://api.oxyy.ai/v1/chat/completions with "model": "glm-5", authenticated with your Oxyy API key. It is also served on /v1/responses (Responses API).
When was GLM-5 released?
GLM-5 was released on Feb 11, 2026.
What other models does Z.ai have?
Z.ai also offers GLM-4-32B-0414-128K, GLM-4.5, GLM-4.5-Air and GLM-4.5-AirX through Oxyy.

Alternatives to GLM-5

Models of the same kind from other vendors, closest in price first. Prices are pay-as-you-go on Oxyy, through the same API key.

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