LiteLLMModels

Llama 3.3 70B Instruct API Pricing

As of October 10, 2026, Llama 3.3 70B Instruct costs $0.12 per 1M input tokens and $0.30 per 1M output tokens from Hyperbolic, the lowest of 18 providers. It has a 131,072-token context window and returns up to 131,072 tokens per response.

By MetaModel ID hyperbolic/meta-llama/Llama-3.3-70B-InstructPrices updated Checked
Input
$0.12 / 1M tokens
Output
$0.30 / 1M tokens
Context window
131,072 tokens
Max output
131,072 tokens
Providers
18
Added to LiteLLM
December 2024

Llama 3.3 70B Instruct pricing by provider

19 listings across 18 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputBatch inBatch outContext
Hyperbolichyperbolic/meta-llama/Llama-3.3-70B-Instruct$0.12$0.30––128K
Meta Llama APImeta_llama/Llama-3.3-70B-Instruct––––128K
Amazon Bedrockmeta.llama3-3-70b-instruct-v1:0$0.72$0.72––128K
Azure AI Foundryazure_ai/Llama-3.3-70B-Instruct$0.71$0.71––128K
Crusoecrusoe/meta-llama/Llama-3.3-70B-Instruct$0.20$0.20––128K
DeepInfradeepinfra/meta-llama/Llama-3.3-70B-Instruct$0.23$0.40––128K
Google Vertex AIvertex_ai/meta/llama-3.3-70b-instruct-maas$0.72$0.72$0.36$0.36128K
GradientAIgradient_ai/llama3.3-70b-instruct$0.65$0.65––128K
IBM watsonx.aiwatsonx/meta-llama/llama-3-3-70b-instruct$0.7526$0.7526––128K
Nebius AI Studionebius/meta-llama/Llama-3.3-70B-Instruct$0.13$0.40––128K
Novita AInovita/meta-llama/llama-3.3-70b-instruct$0.135$0.40––12K
Nscalenscale/meta-llama/Llama-3.3-70B-Instruct$0.20$0.20–––
Oracle Cloud (OCI)oci/meta.llama-3.3-70b-instruct$0.72$0.72––128K
OVHcloudovhcloud/Meta-Llama-3_3-70B-Instruct$0.67$0.67––131K
SambaNovasambanova/Meta-Llama-3.3-70B-Instruct$0.60$1.20––128K
Scalewayscaleway/meta/llama-3.3-70b-instruct$0.90$0.90––128K
Weights & Biaseswandb/meta-llama/Llama-3.3-70B-Instruct$0.71$0.71––128K
Amazon BedrockUS cross-regionus.meta.llama3-3-70b-instruct-v1:0$0.72$0.72––128K
Lambdafp8lambda_ai/llama3.3-70b-instruct-fp8$0.12$0.30––128K

What Llama 3.3 70B Instruct costs in practice

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

Hyperbolic$0.39
Nebius AI Studio$0.46
Novita AI$0.47
Crusoe$0.50

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

Hyperbolic$1.26
Nebius AI Studio$1.38
Novita AI$1.43
Crusoe$2.04

Llama 3.3 70B Instruct features

Use Llama 3.3 70B Instruct with LiteLLM

Call Llama 3.3 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="hyperbolic/meta-llama/Llama-3.3-70B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-3.3-70b-instruct
    litellm_params:
      model: hyperbolic/meta-llama/Llama-3.3-70B-Instruct
      # credentials: see the provider's LiteLLM docs page
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-3.3-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama 3.3 70B Instruct FAQ

How much does Llama 3.3 70B Instruct cost?

Llama 3.3 70B Instruct costs $0.12 per 1M input tokens and $0.30 per 1M output tokens from Hyperbolic, the lowest of 18 providers.

What is the context window of Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct has a 131,072-token context window and returns up to 131,072 tokens per response.

Which providers offer Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is available from 18 providers through LiteLLM: Hyperbolic, Meta Llama API, Amazon Bedrock, Azure AI Foundry, Crusoe, DeepInfra, Google Vertex AI, GradientAI, IBM watsonx.ai, Nebius AI Studio, Novita AI and Nscale and 6 more. The lowest price is on Hyperbolic.

How do I call Llama 3.3 70B Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="hyperbolic/meta-llama/Llama-3.3-70B-Instruct", 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 3.3 70B Instruct support?

Llama 3.3 70B Instruct supports function calling, parallel tool calls and structured output.

When did LiteLLM add Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct was added to LiteLLM's model price file in December 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: Hyperbolic, Meta Llama API, Amazon Bedrock, Azure AI Foundry, Crusoe, DeepInfra.

Provider pages: Hyperbolic, Meta Llama API, Amazon Bedrock, Azure AI Foundry, Crusoe, DeepInfra, Google Vertex AI, GradientAI, IBM watsonx.ai, Nebius AI Studio, Novita AI, Nscale.