# CodeLlama 70B Instruct API Pricing

As of October 10, 2026, CodeLlama 70B Instruct costs $0.70 per 1M input tokens and $2.80 per 1M output tokens on Perplexity. It has a 16,384-token context window and returns up to 16,384 tokens per response.

- Page: https://models.litellm.ai/models/codellama-70b-instruct
- LiteLLM model name: `perplexity/codellama-70b-instruct`
- Context window: 16,384 tokens
- Max output: 16,384 tokens
- Added to LiteLLM: February 2024
- 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 |
|---|---|---|---|---|---|---|---|
| Perplexity | `perplexity/codellama-70b-instruct` | $0.70 | $2.80 | – | – | – | 16K |

## Cost examples

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

- Perplexity: $2.80

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="perplexity/codellama-70b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does CodeLlama 70B Instruct cost?

CodeLlama 70B Instruct costs $0.70 per 1M input tokens and $2.80 per 1M output tokens on Perplexity.

### What is the context window of CodeLlama 70B Instruct?

CodeLlama 70B Instruct has a 16,384-token context window and returns up to 16,384 tokens per response.

### Which providers offer CodeLlama 70B Instruct?

CodeLlama 70B Instruct is available from Perplexity through LiteLLM, using the model name perplexity/codellama-70b-instruct.

### How do I call CodeLlama 70B Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="perplexity/codellama-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.

### When did LiteLLM add CodeLlama 70B Instruct?

CodeLlama 70B Instruct was added to LiteLLM's model price file in February 2024.

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