Using Qwen3 VL 30B A3B Instruct on Fireworks AI

Implementation guide · Qwen3-VL · Alibaba

ProvisionedOpen Source

Fireworks AI exposes Qwen3 VL 30B A3B Instruct through model ID accounts/fireworks/models/qwen3-vl-30b-a3b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-07. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call accounts/fireworks/models/qwen3-vl-30b-a3b-instruct — see the documentation for request format.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
accounts/fireworks/models/qwen3-vl-30b-a3b-instruct

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/qwen3-vl-30b-a3b-instruct",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal MoE model from Alibaba unifying text generation with visual understanding for images, charts, and documents at 128K context.

Model Specs

Released2025-09-18
Parameters30B
Context128K
ArchitectureMixture of Experts

Provider

Fireworks AI

San Mateo, California, United States