LiteLLMModels

Llama 3.3 70B Versatile API Pricing

By Meta · 1 providerinferenceapis/llama-3.3-70b-versatileCompare
Input / output
$0.20 / $0.50 per 1M tokens
Context
128K tokens

As of October 21, 2026, Llama 3.3 70B Versatile costs $0.20 per 1M input tokens and $0.50 per 1M output tokens on Inference APIs. It has a 131,072-token context window.

Prices updated Checked

Llama 3.3 70B Versatile pricing by provider

1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

Llama 3.3 70B Versatile prices by provider in US dollars, token prices per 1M tokens, as of October 21, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputContext
Inference APIsinferenceapis/llama-3.3-70b-versatile$0.20$0.50128K

What Llama 3.3 70B Versatile costs in practice

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

Inference APIs$0.65

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

Inference APIs$2.10

Llama 3.3 70B Versatile cost calculator

At Inference APIs's price ($0.20 input, $0.50 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $4.50 a day, about $135 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.00045
Per day
$4.50
Per month (30 days)
$135

Llama 3.3 70B Versatile features

Use Llama 3.3 70B Versatile with LiteLLM

Call Llama 3.3 70B Versatile 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="inferenceapis/llama-3.3-70b-versatile",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-3.3-70b-versatile
    litellm_params:
      model: inferenceapis/llama-3.3-70b-versatile
      # 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 $LITELLM_API_KEY" \
  -d '{
    "model": "llama-3.3-70b-versatile",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama 3.3 70B Versatile FAQ

How much does Llama 3.3 70B Versatile cost?

Llama 3.3 70B Versatile costs $0.20 per 1M input tokens and $0.50 per 1M output tokens on Inference APIs.

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

Llama 3.3 70B Versatile has a 131,072-token context window.

Which providers offer Llama 3.3 70B Versatile?

Llama 3.3 70B Versatile is available from Inference APIs through LiteLLM, using the model name inferenceapis/llama-3.3-70b-versatile.

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

Use the LiteLLM Python SDK with model="inferenceapis/llama-3.3-70b-versatile", 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 Versatile support?

Llama 3.3 70B Versatile supports function calling. It does not support image input and reasoning.

When did LiteLLM add Llama 3.3 70B Versatile?

Llama 3.3 70B Versatile 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. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:

LiteLLM docs: Inference APIs.

Provider pages: Inference APIs.