# Llama V2 7B Chat API Pricing

As of October 10, 2026, Llama V2 7B Chat costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI. It has a 4,096-token context window and returns up to 4,096 tokens per response.

- Page: https://models.litellm.ai/models/llama-v2-7b-chat
- Lab: Meta
- LiteLLM model name: `fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat`
- Context window: 4,096 tokens
- Max output: 4,096 tokens
- Added to LiteLLM: December 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 |
|---|---|---|---|---|---|---|---|
| Fireworks AI | `fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat` | $0.20 | $0.20 | – | – | – | 4K |

## Cost examples

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

- Fireworks AI: $0.50

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Llama V2 7B Chat cost?

Llama V2 7B Chat costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI.

### What is the context window of Llama V2 7B Chat?

Llama V2 7B Chat has a 4,096-token context window and returns up to 4,096 tokens per response.

### Which providers offer Llama V2 7B Chat?

Llama V2 7B Chat is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat.

### How do I call Llama V2 7B Chat with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat", 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 Llama V2 7B Chat?

Llama V2 7B Chat was added to LiteLLM's model price file in December 2025.

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