Llama2 API Pricing
As of October 10, 2026, Llama2 is free to use on Ollama. It has a 4,096-token context window and returns up to 4,096 tokens per response.
- Price
- Free
- Context window
- 4,096 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Added to LiteLLM
- October 2023
Llama2 pricing by provider
4 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
What Llama2 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Ollama | $0 |
Use Llama2 with LiteLLM
Call Llama2 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="ollama/llama2",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama2
litellm_params:
model: ollama/llama2
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama2",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama2 FAQ
How much does Llama2 cost?
Llama2 is free to use on Ollama.
What is the context window of Llama2?
Llama2 has a 4,096-token context window and returns up to 4,096 tokens per response.
Which providers offer Llama2?
Llama2 is available from Ollama through LiteLLM, using the model name ollama/llama2.
How do I call Llama2 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="ollama/llama2", 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 Llama2?
Llama2 was added to LiteLLM's model price file in October 2023.
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: Ollama.
Provider pages: Ollama.