Using Qwen2-72B on DeepInfra

Quick Start

1. 1
   Create an account at DeepInfra and generate an API key.
2. 2
   Use the DeepInfra SDK or REST API to call qwen2-72b — see the documentation for request format.
3. 3
   You'll be billed $0.45/1M input, $0.65/1M output tokens. See full pricing.

Code Examples

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["DEEPINFRA_API_KEY"],
    base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
    model="qwen2-72b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About DeepInfra

DeepInfra offers serverless AI inference with a simple API, supporting hundreds of models across text generation, embeddings, and more. Pay-per-token pricing with no upfront commitments.

DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models. It provides serverless inference for leading models from Meta, Mistral, Alibaba, and others with competitive token-based pricing.

Pricing on DeepInfra

Capabilities

About Qwen2-72B

Qwen2-72B is a cutting-edge large language model developed by Alibaba's Qwen team, featuring an impressive 72 billion parameters based on the Transformer architecture 12. It employs advanced enhancements such as SwiGLU activation, attention QKV bias, and group query attention to advance efficiency and precision 16. The model demonstrates strong performance across diverse benchmarks, excelling in language understanding, generation, coding, mathematics, and multilingual tasks, often surpassing other open-source models and challenging proprietary alternatives 34. With support for processing up to 128,000 tokens in context and proficiency in around 30 languages, it offers extensive input capabilities 15. However, the base model is not optimal for direct text generation; post-training techniques are advisable for specific applications 16.