How much does GLM 5 cost?

GLM 5 is billed pay-as-you-go at $0.95 per 1M input tokens and $3.15 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of GLM 5?

GLM 5 supports a context window of up to 200K tokens. It can return up to 16K tokens in a single response.

GLM 5 supports Vision, Tool calling.

Is GLM 5 free to use?

GLM 5 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use GLM 5 via the API?

GLM 5 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-5 with your Api.Airforce API key.

GLM 5 is Z.ai's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

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GLM 5

API model name: glm-5

GLM 5 is Z.ai's chat model, served on the Api.Airforce unified API. It has a 200K-token context window. Beyond text, it accepts image as input. Capabilities include Vision, Tool calling. It is priced at $0.95 per million input tokens and $3.15 per million output tokens. That is below the provider's $1.00 official input rate. Knowledge cutoff: 2025-10. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.95

Output / 1M tokens

$3.15

Cache read / 1M tokens

$0.10

Official input rate

$1.00

Official output rate

$3.20

Api.Airforce price vs. the provider's official rate.-5%

Specifications

Provider: Z.ai
Type: chat model
Context window: 200K tokens
Max output: 16K tokens
Knowledge cutoff: 2025-10
Input: text, image
Output: text

Capabilities

VisionTool callingStreaming

Benchmarks

Independent evaluations and measured speed from Artificial Analysis.

Measured atSame model, different reasoning effort.

Intelligence Index

40.6/100

GPQA Diamond82%

Humanity's Last Exam29%

SciCode46%

τ²-bench98%

Terminal-Bench Hard43%

LCR71%

GLM-5 (Reasoning) · 33.2–40.6

Source: Benchmark data by Artificial Analysis (artificialanalysis.ai)

What is GLM 5 used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Image understanding — analyze photos, screenshots, charts and scanned documents.
Agents & automation — function calling and tool use for multi-step workflows.
Long-context tasks — process entire documents or codebases in a single prompt.
Real-time experiences — stream tokens for responsive chat and apps.

GLM 5 vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
GLM 5	40.6	200K	$0.95	$3.15
GLM 4	—	—	$5.58	$5.62
GLM 4 Airx	—	—	$0.58	$0.62
GLM 4 Flash	—	—	$0.04	$0.14

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

GLM 5 — frequently asked questions

How much does GLM 5 cost?: GLM 5 is billed pay-as-you-go at $0.95 per 1M input tokens and $3.15 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of GLM 5?: GLM 5 supports a context window of up to 200K tokens. It can return up to 16K tokens in a single response.
What can GLM 5 do?: GLM 5 supports Vision, Tool calling.
Is GLM 5 free to use?: GLM 5 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use GLM 5 via the API?: GLM 5 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-5 with your Api.Airforce API key.
Who makes GLM 5?: GLM 5 is Z.ai's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use GLM 5 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass glm-5 as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="glm-5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "glm-5",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);