Using Llama 3.1-70B on Replicate API

Implementation guide · Llama 3.1 · AI at Meta

ServerlessOpen Weights

Replicate API exposes Llama 3.1-70B through model ID llama-3-1-70b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-18. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Replicate API and generate an API key.
  2. 2
    Use the Replicate API SDK or REST API to call llama-3-1-70b — see the documentation for request format.
  3. 3
    You'll be billed $1.20/1M input, $1.20/1M output tokens. See full pricing.

Code Examples

Install
pip install replicate
API key
REPLICATE_API_TOKEN
Model ID
llama-3-1-70b

Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.

import replicate

# reads REPLICATE_API_TOKEN from env
# llama-3-1-70b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "llama-3-1-70b",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

Pricing on Replicate API

TypePrice (per 1M)
Input tokens$1.20
Output tokens$1.20

Capabilities

JSON / Tool useFine-tuning

About Llama 3.1-70B

Medium-sized Llama 3.1 model balancing performance and efficiency. Excellent for deployment with strong capability retention.

Model Specs

Released2024-07-23
Parameters70B
Context128k
Knowledge cutoff2024-04

Provider

Replicate API

Replicate

San Francisco, California, United States