Qwen3-VL-30B-A3B API.
Ask about the image.

Qwen3-VL-30B-A3B brings image understanding to a conversational workflow. Combine a picture with a precise question to turn visual content into useful text.

€5 in free credits for every new customer.

Try Qwen3-VL-30B-A3B

From €0.101 per million input tokens. View the pricing details.

Vision & image understanding
with Qwen3-VL-30B-A3B.

Practical starting points for Qwen3-VL-30B-A3B. Choose one task, define the expected output and measure the result on your own examples.

Explain screenshots

Describe an application error or interface state from a screenshot. Add the user’s question so the answer focuses on the relevant details.

Draft product descriptions

Generate a first description from a product photo, then verify attributes against your inventory before publishing.

Read visual evidence

Ask about labels, diagrams or visible document content. Preserve the original image so reviewers can check uncertain details.

Explore the vision & image understanding workflow ↗

Qwen3-VL-30B-A3B pricing

Qwen3-VL-30B-A3B
API pricing.

These are catalogue “From” rates in EUR. Dynamic pricing can change the applicable price. Confirm your model, request route and active billing unit before estimating a workload.

See Qwen3-VL-30B-A3B on the rate card ↗

Input / 1M tokens: From€0.101
Output / 1M tokens: From€0.402

A concrete example
10,000 input tokens + 2,000 output tokens = €0.001814 at the displayed starting rates.

Illustration only; excludes retries, other models and paid tools. Catalogue updated 2026-10-22.

Check current rates ↗

API integration

How to use
the Qwen3-VL-30B-A3B API.

Use the Blade model ID qwen3-vl-30b-a3b and keep your API key in your backend environment. Verify account access and supported parameters before connecting production traffic.

Create a Blade API key in the console.
Run pip install openai and set BLADE_API_KEY.
Run a small request and inspect the output before building the rest of your workflow.

Read the API reference ↗

python

import base64
from pathlib import Path
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.models.blade.sh/v1",
    api_key=os.environ["BLADE_API_KEY"],
    timeout=120.0,
)

image = base64.b64encode(
    Path("screenshot.png").read_bytes()
).decode("ascii")
reply = client.chat.completions.create(
    model="qwen3-vl-30b-a3b",
    messages=[{"role": "user", "content": [
        {"type": "text", "text":
         "Describe the visible error. Do not guess."},
        {"type": "image_url", "image_url": {
            "url": "data:image/png;base64," + image
        }},
    ]}],
    max_tokens=1024,
)
print(reply.choices[0].message.content)

Install openai, set BLADE_API_KEY and provide screenshot.png. Confirm image input for this model on your account. This example sends a billed vision-chat request.

Qwen3-VL-30B-A3B API FAQ.

What can I use Qwen3-VL-30B-A3B for?

Qwen3-VL-30B-A3B brings image understanding to a conversational workflow. Combine a picture with a precise question to turn visual content into useful text. Its Blade model ID is qwen3-vl-30b-a3b.

How much does Qwen3-VL-30B-A3B cost on Blade?

Input / 1M tokens: from €0.101. Output / 1M tokens: from €0.402. These are dynamic catalogue starting rates as of 2026-10-22, not fixed prices for every request. Check the console for current rates.

What should I confirm before integrating?

The Blade alias does not specify an Instruct or Thinking revision. Its listed context is the hosted limit; confirm input formats and the exact revision in the console.

Reference for the Qwen3-VL family; the linked Instruct checkpoint is not a confirmed mapping of the Blade alias.

Model reference: Publisher model reference ↗. Hosted configuration and pricing: Blade catalogue, 2026-10-22.

Choose by task, input type and billing unit. Browse all models ↗

Qwen3-VL-30B-A3B API.Ask about the image.

Vision & image understandingwith Qwen3-VL-30B-A3B.