Fireworks AI exposes Qwen-72B through model ID qwen-72b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
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Code Examples
pip install openaiFIREWORKS_API_KEYqwen-72bFireworks 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="qwen-72b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
No model capability flags are currently sourced.
About Qwen-72B
The Qwen-72B is a potent large language model developed by Alibaba Cloud, featuring 72 billion parameters and built on the Transformer architecture. This model introduces enhancements such as SwiGLU activation, attention QKV bias, and group query attention for efficient performance on complex language tasks. Trained on a dataset of over 3 trillion tokens, it excels in multiple domains, including language understanding and generation, code generation, and translation, across multiple languages like Chinese and English. With an impressive context length of up to 32,000 tokens and a vocabulary exceeding 150,000 tokens, it manages extensive text inputs well.