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.
- Input
- $0.20 / 1M tokens
- Output
- $0.20 / 1M tokens
- Context window
- 4,096 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Llama V2 7B Chat 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.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| Fireworks AI | fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat | $0.20 | $0.20 | 4K |
What Llama V2 7B Chat costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Fireworks AI | $0.50 |
Use Llama V2 7B Chat with LiteLLM
Call Llama V2 7B Chat 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.
from litellm import completion
response = completion(
model="fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-v2-7b-chat
litellm_params:
model: fireworks_ai/accounts/fireworks/models/llama-v2-7b-chat
api_key: os.environ/FIREWORKS_AI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama-v2-7b-chat",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama V2 7B Chat 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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: Fireworks AI.
Provider pages: Fireworks AI.
