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Replicate API

Llama 3 70B on Replicate API

Llama 3 · AI at Meta

ServerlessOpen Source

Last refreshed 2026-04-15. Next refresh: weekly.

Why use Llama 3 70B on Replicate API?

Replicate API offers Llama 3 70B with pay-as-you-go pricing at $0.65/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.

Input / 1M
$0.65
Output / 1M
$2.75
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install replicate
Auth
export REPLICATE_API_TOKEN=...
Call
import replicate
output = replicate.run(
    "llama3-70b",
    input={"prompt": "Hello"}
Model ID
llama3-70b

Request example

import replicate

# reads REPLICATE_API_TOKEN from env
# llama3-70b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "llama3-70b",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

Gotchas

  • 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.
  • The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokens$0.65
Output tokens$2.75

Capabilities

No model capability flags are currently sourced.

About Llama 3 70B

The Llama 3 70B model is a state-of-the-art large language model with 70 billion parameters, released by Meta on April 18, 2024. It's based on an auto-regressive transformer architecture and has been optimized for dialogue applications using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). The model supports an 8,000-token context length and has been trained on over 15 trillion tokens from public online sources. It excels in tasks such as conversational AI, text generation, and natural language understanding, outperforming many existing open-source chat models on industry benchmarks. The model is designed with a focus on safety and helpfulness, making it suitable for both commercial and research applications, particularly in English. For more details, visit the Hugging Face link .

FAQ

What does Llama 3 70B cost on Replicate API?

On Replicate API, Llama 3 70B costs $0.65 per 1M input tokens and $2.75 per 1M output tokens.

What is the context window for Llama 3 70B on Replicate API?

Llama 3 70B supports a 8,000 token context window on Replicate API.

Who created Llama 3 70B?

Llama 3 70B was created by AI at Meta as part of the Llama 3 model family.

Is Llama 3 70B open source?

Llama 3 70B is open source according to the seed data.

Get Started

Model Specs

Released2024-04-18
Parameters70B
Context8K
ArchitectureDecoder Only