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
- 2Use the Replicate API SDK or REST API to call
llama-3-1-70b— see the documentation for request format. - 3
Code Examples
Install
pip install replicateAPI key
REPLICATE_API_TOKENModel ID
llama-3-1-70bReplicate 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
| Type | Price (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