Using Qwen3-30B-A3B-Instruct-2507 on Fireworks AI

Implementation guide · Qwen3 · Alibaba

Provisioned
Open Source

Fireworks AI exposes Qwen3-30B-A3B-Instruct-2507 through model ID accounts/fireworks/models/qwen3-30b-a3b-instruct-2507. Use the setup steps, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. 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/qwen3-30b-a3b-instruct-2507 — see the documentation for request format.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
accounts/fireworks/models/qwen3-30b-a3b-instruct-2507

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/qwen3-30b-a3b-instruct-2507",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Capabilities

No model capability flags are currently sourced.

About Qwen3-30B-A3B-Instruct-2507

Qwen3-30B-A3B-Instruct-2507 is Alibaba Qwen's July 2025 update of Qwen3-30B-A3B, a mixture-of-experts model with 3B active parameters. It runs only in non-thinking mode and has Apache-2.0 open weights on Hugging Face.

Model Specs

Released2025-07-29
Parameters30B-A3B
ArchitectureMixture of Experts

Provider

Fireworks AI

San Mateo, California, United States