Qwen3 VL 8B Thinking

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Call Qwen3 VL 8B Thinking through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3-vl-8b-thinking", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

import os
from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen3-vl-8b-thinking",
    messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
  model: "qwen/qwen3-vl-8b-thinking",
  messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

• 1,000 chat replies

  ≈ 500 tokens in, 300 out each
  $0.72
• Summarise a 100-page document

  ≈ 50,000 tokens in, 1,000 out
  $0.011
• An app with 10,000 requests a day for a month

  ≈ 1,000 tokens in, 400 out each
  $306

Cost calculator →

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How much does Qwen3 VL 8B Thinking cost?

Qwen3 VL 8B Thinking costs $0.18 per million input tokens and $2.10 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.72.

What is the context window of Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking can read up to 131,072 tokens in one request, about 246 pages of text. It can write up to 32,768 tokens in a single answer.

Is Qwen3 VL 8B Thinking open source?

Yes. Its weights are published (Qwen/Qwen3-VL-8B-Thinking), so you can download it and run it on your own hardware, or use it through one of 1 API providers.

Who makes Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is made by Alibaba Qwen. It became available through the API on October 14, 2025.

Can Qwen3 VL 8B Thinking read images?

Yes. Besides text, it accepts images as input.

What are the alternatives to Qwen3 VL 8B Thinking?

Models with a similar price from other companies include Hy3 preview, GPT-5.6 Luna Pro and Nemotron 3.5 Content Safety. You can compare them side by side on this page.