Qwen3.5 35B A3B

Qwen · Text · Context 256K · max output 65.5K tokens

qwen3.5-35b-a3b Try

Prompt caching
14% below list price

Pricing

Per 1 million tokens
	MarkasAI	Vendor list price
Input	Rp 3.822	Rp 4.473
Output	Rp 30.573	Rp 35.780
Cache	Rp 3.822
Cache write	Rp 3.822

MarkasAI sale prices in Rupiah, read from the same catalog as GET /v1/models. Prices can change and apply to later requests.

Specifications

Model ID: qwen3.5-35b-a3b
Provider: Qwen
Type: Text
Endpoint: POST /v1/chat/completions
Context window: 256,000 tokens
Output limit per request: 65,536 tokens

About this model

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

Quoted from the provider's public catalog, in English.

Call example

curl https://api.markas.ai.id/v1/chat/completions \
  -H "Authorization: Bearer $MARKASAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-35b-a3b",
    "messages": [{"role": "user", "content": "What is an API?"}],
    "max_tokens": 300
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])

resp = client.chat.completions.create(
    model="qwen3.5-35b-a3b",
    messages=[{"role": "user", "content": "What is an API?"}],
    max_tokens=300,
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });

const resp = await client.chat.completions.create({
  model: "qwen3.5-35b-a3b",
  messages: [{ role: "user", content: "What is an API?" }],
  max_tokens: 300,
});
console.log(resp.choices[0].message.content);

Keep your API key in the MARKASAI_API_KEY environment variable. Read the endpoint docs

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