LiteLLMModels

Llama 3.1 70B Instruct API Pricing

As of October 10, 2026, Llama 3.1 70B Instruct is free to use from Google Vertex AI, the lowest of 11 providers. It has a 128,000-token context window and returns up to 2,048 tokens per response.

By MetaModel ID vertex_ai/meta/llama-3.1-70b-instruct-maasPrices updated Checked
Price
Free
Context window
128,000 tokens
Max output
2,048 tokens
Providers
11
Added to LiteLLM
July 2024

Llama 3.1 70B Instruct pricing by provider

12 listings across 11 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Google Vertex AIvertex_ai/meta/llama-3.1-70b-instruct-maas$0$0128K
Amazon Bedrockmeta.llama3-1-70b-instruct-v1:0$0.72$0.72128K
Azure AI Foundryazure_ai/Meta-Llama-3.1-70B-Instruct$2.68$3.54128K
DeepInfradeepinfra/meta-llama/Meta-Llama-3.1-70B-Instruct$0.40$0.40128K
Hyperbolichyperbolic/meta-llama/Meta-Llama-3.1-70B-Instruct$0.12$0.3032K
Nebius AI Studionebius/meta-llama/Meta-Llama-3.1-70B-Instruct$0.13$0.40128K
Oracle Cloud (OCI)oci/meta.llama-3.1-70b-instruct$0.72$0.72128K
OVHcloudovhcloud/Meta-Llama-3_1-70B-Instruct$0.67$0.67131K
Perplexityperplexity/llama-3.1-70b-instruct$1.00$1.00128K
Weights & Biaseswandb/meta-llama/Llama-3.1-70B-Instruct$0.80$0.80131K
Amazon BedrockUS cross-regionus.meta.llama3-1-70b-instruct-v1:0$0.72$0.72128K
Lambdafp8lambda_ai/llama3.1-70b-instruct-fp8$0.12$0.30128K

What Llama 3.1 70B Instruct costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Google Vertex AI$0
Hyperbolic$0.39
Nebius AI Studio$0.46
DeepInfra$1.00

100 long-document requests with 100,000 input and 2,000 output tokens each

Google Vertex AI$0
Hyperbolic$1.26
Nebius AI Studio$1.38
DeepInfra$4.08

Llama 3.1 70B Instruct features

Use Llama 3.1 70B Instruct with LiteLLM

Call Llama 3.1 70B Instruct through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="vertex_ai/meta/llama-3.1-70b-instruct-maas",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-3.1-70b-instruct
    litellm_params:
      model: vertex_ai/meta/llama-3.1-70b-instruct-maas
      vertex_project: os.environ/VERTEX_PROJECT
      vertex_location: os.environ/VERTEX_LOCATION
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "llama-3.1-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama 3.1 70B Instruct FAQ

How much does Llama 3.1 70B Instruct cost?

Llama 3.1 70B Instruct is free to use from Google Vertex AI, the lowest of 11 providers.

What is the context window of Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct has a 128,000-token context window and returns up to 2,048 tokens per response.

Which providers offer Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct is available from 11 providers through LiteLLM: Google Vertex AI, Amazon Bedrock, Azure AI Foundry, DeepInfra, Hyperbolic, Nebius AI Studio, Oracle Cloud (OCI), OVHcloud, Perplexity, Weights & Biases and Lambda. The lowest price is on Google Vertex AI.

How do I call Llama 3.1 70B Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="vertex_ai/meta/llama-3.1-70b-instruct-maas", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Llama 3.1 70B Instruct support?

Llama 3.1 70B Instruct supports function calling, parallel tool calls and image input.

When did LiteLLM add Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct was added to LiteLLM's model price file in July 2024.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: Google Vertex AI, Amazon Bedrock, Azure AI Foundry, DeepInfra, Hyperbolic, Nebius AI Studio.

Provider pages: Google Vertex AI, Amazon Bedrock, Azure AI Foundry, DeepInfra, Hyperbolic, Nebius AI Studio, Oracle Cloud (OCI), OVHcloud, Perplexity, Weights & Biases, Lambda.