How much does Qwen3.5 397b A17b cost?

Qwen3.5 397b A17b is billed pay-as-you-go at $0.27 per 1M input tokens and $1.53 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Qwen3.5 397b A17b?

Qwen3.5 397b A17b supports a context window of up to 262K tokens. It can return up to 262K tokens in a single response.

What can Qwen3.5 397b A17b do?

Qwen3.5 397b A17b supports Vision, Tool calling, Reasoning.

Is Qwen3.5 397b A17b free to use?

Qwen3.5 397b A17b is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Qwen3.5 397b A17b via the API?

Qwen3.5 397b A17b is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID qwen3.5-397b-a17b with your Api.Airforce API key.

Who makes Qwen3.5 397b A17b?

Qwen3.5 397b A17b is Alibaba's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

AlibabaPaidOperational

Qwen3.5 397b A17b

API model name: qwen3.5-397b-a17b

Qwen3.5 397b A17b is Alibaba's chat model, served on the Api.Airforce unified API. It has a 262K-token context window. Beyond text, it accepts image, video as input. Capabilities include Vision, Tool calling, Reasoning. It is priced at $0.27 per million input tokens and $1.53 per million output tokens. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

Get an API key View pricing

Pricing

Input / 1M tokens

$0.27

Output / 1M tokens

$1.53

Specifications

Provider: Alibaba
Type: chat model
Context window: 262K tokens
Max output: 262K tokens
Input: text, image, video
Output: text

Capabilities

VisionTool callingReasoningStreaming

What is Qwen3.5 397b A17b 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.
Complex reasoning — math, coding and step-by-step problem solving.
Long-context tasks — process entire documents or codebases in a single prompt.
Real-time experiences — stream tokens for responsive chat and apps.

Qwen3.5 397b A17b vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Qwen3.5 397b A17b	—	262K	$0.27	$1.53
Qwen Max	—	—	$0.51	$2.07
Qwen Plus	—	—	$0.18	$0.42
Qwen Turbo	—	—	—	—

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

Qwen3.5 397b A17b — frequently asked questions

How much does Qwen3.5 397b A17b cost?: Qwen3.5 397b A17b is billed pay-as-you-go at $0.27 per 1M input tokens and $1.53 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Qwen3.5 397b A17b?: Qwen3.5 397b A17b supports a context window of up to 262K tokens. It can return up to 262K tokens in a single response.
What can Qwen3.5 397b A17b do?: Qwen3.5 397b A17b supports Vision, Tool calling, Reasoning.
Is Qwen3.5 397b A17b free to use?: Qwen3.5 397b A17b is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Qwen3.5 397b A17b via the API?: Qwen3.5 397b A17b is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID qwen3.5-397b-a17b with your Api.Airforce API key.
Who makes Qwen3.5 397b A17b?: Qwen3.5 397b A17b is Alibaba's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Qwen3.5 397b A17b via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass qwen3.5-397b-a17b as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-397b-a17b",
    "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="qwen3.5-397b-a17b",
    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: "qwen3.5-397b-a17b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);