GLM-4.6V-FlashX

Fast vision model from Z.ai for high-volume image understanding at low cost.

Input price: $0.024092
Output price: $0.2409

Context: 128K
Max output: 4K

30-day uptime: —

InputTextImageOutputText

Providers

Providers that serve this model. With Auto, each request goes to the best available provider. Prices in USD per 1M tokens; stats cover the last 30 days.

AutoInput$0.024092Output$0.2409Cache read$0.00482Context128KMax output4KWe send each request to the best-priced healthy provider. You pay that provider’s price.Zhipu AI (ChatGLM)Input$0.024092Output$0.2409Cache read$0.00482ChinaNo training

Pricing

All prices for this model, by service tier.

Prompt ≤ 32K tokens

Input: $0.024092; per 1M tokens
Output: $0.2409; per 1M tokens
Cache read: $0.00482; per 1M tokens

Prompt > 32K tokens

Input: $0.04818; per 1M tokens
Output: $0.4818; per 1M tokens
Cache read: $0.00482; per 1M tokens

Try it

Runs on your balance and is billed like any API request.

curl https://api.ohmygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $OHMYGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zhipu/glm-4.6v-flashx",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

import os

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["OHMYGPT_API_KEY"],
    base_url="https://api.ohmygpt.com/v1",
)

response = client.chat.completions.create(
    model="zhipu/glm-4.6v-flashx",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OHMYGPT_API_KEY,
  baseURL: "https://api.ohmygpt.com/v1",
});

const response = await client.chat.completions.create({
  model: "zhipu/glm-4.6v-flashx",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);

The answer streams in here.

Billed by usage

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