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Qwen3.8 Max

qwen3.8-max

qwen3.8-max is available at qwen3.8-max. Below: price, specifications and request examples.

Price

model valueInput, per 1MOutput, per 1MCache, per 1M
qwen3.8-max$0.4346$1.3038$0.0435

Prices per 1M tokens. You pay for what you use.

Specifications

Context window
1,000,000 tokens
Max output tokens
32,000 tokens
Image input
yes
Reasoning
yes
Anthropic format (/v1/messages)
yes
Data in Russia
no

Request example

Create a key in the dashboard. Streaming works too: add "stream": true.

curl
curl https://whitelabel-demo.getvibeapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.8-max", "messages": [{"role": "user", "content": "Hello!"}]}'
Python
from openai import OpenAI

client = OpenAI(base_url="https://whitelabel-demo.getvibeapi.com/v1", api_key="YOUR_KEY")
reply = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)

Questions and answers

How much does qwen3.8-max cost?

Input is $0.4346 per 1M tokens, output $1.3038 per 1M. You are charged for the tokens actually used, so a single request costs a fraction of a cent. Your balance and spending are in the dashboard.

What is the context window of qwen3.8-max?

Up to 1,000,000 input tokens and up to 32,000 output tokens.

How do I call qwen3.8-max?

Set the base URL to https://whitelabel-demo.getvibeapi.com/v1 and use "qwen3.8-max" in the model field of any OpenAI-compatible client. curl and Python examples are on this page.

Is cached input cheaper?

Repeated context is billed at the cache price — $0.0435 per 1M tokens instead of $0.4346.

Does qwen3.8-max understand images?

Yes, images can be sent along with text.

Does it support reasoning?

Yes, the model supports a reasoning mode; its depth is set by a request parameter.

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