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QwenFree

Qwen3.5 397B A17B

qwen/qwen3.5-397b-a17b

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Context 262K.

Pricing

InputFreeper 1M tokens
OutputFreeper 1M tokens

Specifications

Context window262Ktokens
Max output66Ktokens
ProviderQwen
CapabilitiesVision · Reasoning · Function calling
Input typestext, image, video

Use Qwen3.5 397B A17B

Point your existing OpenAI SDK at xKiro and pass qwen/qwen3.5-397b-a17b as the model. Nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xkiro.com/v1",
    api_key="YOUR_XKIRO_KEY",
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-397b-a17b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · reasoning · include_reasoning

Related models

Qwen3.5 397B A17B costs $0 per token on xKiro. Create a key and call it today.

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