Using DeepInfra CodeLlama 70B Instruct on DeepInfra
Implementation guide · Code Llama · AI at Meta
ServerlessOpen Weights
DeepInfra exposes DeepInfra CodeLlama 70B Instruct through model ID deepinfra-codellama-70b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-07-09. Next refresh: weekly.
Quick Start
- 1
- 2Use the DeepInfra SDK or REST API to call
deepinfra-codellama-70b-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
DEEPINFRA_API_KEYModel ID
deepinfra-codellama-70b-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="deepinfra-codellama-70b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on DeepInfra
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.45 |
| Output tokens | $0.65 |
Capabilities
Structured Outputs
About DeepInfra CodeLlama 70B Instruct
DeepInfra CodeLlama 70B Instruct is Meta's Code Llama model. It offers a 100K-token context window with weights openly available for self-hosting.
Model Specs
Released2023-07-18
Parameters70B
Context100k
ArchitectureDecoder Only
Knowledge cutoff2022-09