# Llama 3.3 70B Instruct Turbo API Pricing

As of October 10, 2026, Llama 3.3 70B Instruct Turbo costs $0.10 per 1M input tokens and $0.32 per 1M output tokens from DeepInfra, the lowest of 2 providers. It has a 131,072-token context window and returns up to 131,072 tokens per response.

- Page: https://models.litellm.ai/models/llama-3.3-70b-instruct-turbo
- Lab: Meta
- LiteLLM model name: `deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo`
- Context window: 131,072 tokens
- Max output: 131,072 tokens
- Added to LiteLLM: January 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| DeepInfra | `deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo` | $0.10 | $0.32 | – | – | – | 128K |
| Together AI | `together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo` | $1.04 | $1.04 | – | – | – | 128K |

## Cost examples

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

- DeepInfra: $0.36
- Together AI: $2.60

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

- DeepInfra: $1.064
- Together AI: $10.61

## Features

Supported: Function calling, Parallel tool calls, Structured output.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Llama 3.3 70B Instruct Turbo cost?

Llama 3.3 70B Instruct Turbo costs $0.10 per 1M input tokens and $0.32 per 1M output tokens from DeepInfra, the lowest of 2 providers.

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

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

### Which providers offer Llama 3.3 70B Instruct Turbo?

Llama 3.3 70B Instruct Turbo is available from 2 providers through LiteLLM: DeepInfra and Together AI. The lowest price is on DeepInfra.

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

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

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

### When did LiteLLM add Llama 3.3 70B Instruct Turbo?

Llama 3.3 70B Instruct Turbo was added to LiteLLM's model price file in January 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json