Quick Start
- 1
- 2Use the DeepInfra SDK or REST API to call
qwen2.5-7b-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
DEEPINFRA_API_KEYModel ID
qwen2.5-7b-instructDeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
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="qwen2.5-7b-instruct",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.03 |
| Output tokens | $0.03 |
Capabilities
Structured Outputs
About Qwen2.5-7B-Instruct
Instruction-tuned 7B variant combining strong reasoning with real-time inference on single GPUs, ideal for developer tools and vision applications.
Model Specs
Released2024-06-07
Parameters7.61B
Context128K
ArchitectureDecoder Only