Llama 4 Maverick 17B API Pricing
As of October 10, 2026, Llama 4 Maverick 17B costs $0.371 per 1M input tokens and $1.484 per 1M output tokens on IBM watsonx.ai. It has a 131,072-token context window and returns up to 8,192 tokens per response.
- Input
- $0.371 / 1M tokens
- Output
- $1.484 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- October 2025
Llama 4 Maverick 17B 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 |
|---|---|---|---|---|
| IBM watsonx.ai | watsonx/meta-llama/llama-4-maverick-17b | $0.371 | $1.484 | 128K |
What Llama 4 Maverick 17B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| IBM watsonx.ai | $1.484 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| IBM watsonx.ai | $4.007 |
Llama 4 Maverick 17B features
- Function calling
- Parallel tool calls
- Image input
Use Llama 4 Maverick 17B with LiteLLM
Call Llama 4 Maverick 17B 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="watsonx/meta-llama/llama-4-maverick-17b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-4-maverick-17b
litellm_params:
model: watsonx/meta-llama/llama-4-maverick-17b
# 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-4-maverick-17b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 4 Maverick 17B FAQ
How much does Llama 4 Maverick 17B cost?
Llama 4 Maverick 17B costs $0.371 per 1M input tokens and $1.484 per 1M output tokens on IBM watsonx.ai.
What is the context window of Llama 4 Maverick 17B?
Llama 4 Maverick 17B has a 131,072-token context window and returns up to 8,192 tokens per response.
Which providers offer Llama 4 Maverick 17B?
Llama 4 Maverick 17B is available from IBM watsonx.ai through LiteLLM, using the model name watsonx/meta-llama/llama-4-maverick-17b.
How do I call Llama 4 Maverick 17B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="watsonx/meta-llama/llama-4-maverick-17b", 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.
What features does Llama 4 Maverick 17B support?
Llama 4 Maverick 17B supports function calling and parallel tool calls. It does not support image input.
When did LiteLLM add Llama 4 Maverick 17B?
Llama 4 Maverick 17B was added to LiteLLM's model price file in October 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. Provider pricing pages:
LiteLLM docs: IBM watsonx.ai.
Provider pages: IBM watsonx.ai.
