Llama 2 13B Chat API Pricing
As of October 10, 2026, Llama 2 13B Chat costs $0.10 per 1M input tokens and $0.50 per 1M output tokens from Replicate, the lowest of 2 providers. It has a 4,096-token context window and returns up to 4,096 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.50 / 1M tokens
- Context window
- 4,096 tokens
- Max output
- 4,096 tokens
- Providers
- 2
Llama 2 13B Chat pricing by provider
2 listings across 2 providers. 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 |
|---|---|---|---|---|
| Replicate | replicate/meta/llama-2-13b-chat | $0.10 | $0.50 | 4K |
| Amazon Bedrock | meta.llama2-13b-chat-v1 | $0.75 | $1.00 | 4K |
What Llama 2 13B Chat costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Replicate | $0.45 |
| Amazon Bedrock | $2.00 |
Use Llama 2 13B Chat with LiteLLM
Call Llama 2 13B 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="replicate/meta/llama-2-13b-chat",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-2-13b-chat
litellm_params:
model: replicate/meta/llama-2-13b-chat
# 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": "llama-2-13b-chat",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 2 13B Chat FAQ
How much does Llama 2 13B Chat cost?
Llama 2 13B Chat costs $0.10 per 1M input tokens and $0.50 per 1M output tokens from Replicate, the lowest of 2 providers.
What is the context window of Llama 2 13B Chat?
Llama 2 13B Chat has a 4,096-token context window and returns up to 4,096 tokens per response.
Which providers offer Llama 2 13B Chat?
Llama 2 13B Chat is available from 2 providers through LiteLLM: Replicate and Amazon Bedrock. The lowest price is on Replicate.
How do I call Llama 2 13B Chat with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="replicate/meta/llama-2-13b-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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Replicate, Amazon Bedrock.
Provider pages: Replicate, Amazon Bedrock.
