Using DeepSeek R1 Distill Llama 70B on DeepInfra
Implementation guide · DeepSeek R1 · DeepSeek
Quick Start
- 1
- 2Use the DeepInfra SDK or REST API to call
deepseek-r1-distill-llama-70b— see the documentation for request format. - 3
Code Examples
pip install openaiDEEPINFRA_API_KEYdeepseek-r1-distill-llama-70bDeepInfra 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="deepseek-r1-distill-llama-70b",
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 | $0.70 |
| Output tokens | $0.80 |
Capabilities
About DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is DeepSeek's DeepSeek R1 model with an optional reasoning mode. It offers a 128K-token context window with weights openly available for self-hosting.