Llama 4 Maverick 17B 128e Instruct API Pricing
As of October 10, 2026, Llama 4 Maverick 17B 128e Instruct costs $0.35 per 1M input tokens and $1.15 per 1M output tokens from Google Vertex AI, the lowest of 9 providers. It has a 1,000,000-token context window and returns up to 1,000,000 tokens per response.
- Input
- $0.35 / 1M tokens
- Output
- $1.15 / 1M tokens
- Context window
- 1,000,000 tokens
- Max output
- 1,000,000 tokens
- Providers
- 9
- Added to LiteLLM
- April 2025
Llama 4 Maverick 17B 128e Instruct pricing by provider
9 listings across 9 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 | Batch in | Batch out | Context |
|---|---|---|---|---|---|---|
| Google Vertex AI | vertex_ai/meta/llama-4-maverick-17b-128e-instruct-maas | $0.35 | $1.15 | $0.175 | $0.575 | 1M |
| Meta Llama APIfp8 | meta_llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | – | – | – | – | 1M |
| SambaNova | sambanova/Llama-4-Maverick-17B-128E-Instruct | $0.63 | $1.80 | – | – | 128K |
| Azure AI Foundryfp8 | azure_ai/Llama-4-Maverick-17B-128E-Instruct-FP8 | $0.25 | $1.00 | – | – | 1M |
| DeepInfrafp8 | deepinfra/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | $0.20 | $0.80 | – | – | 1M |
| IBM watsonx.aifp8 | watsonx/meta-llama/llama-4-maverick-17b-128e-instruct-fp8 | $0.371 | $1.484 | – | – | 128K |
| Lambdafp8 | lambda_ai/llama-4-maverick-17b-128e-instruct-fp8 | $0.05 | $0.10 | – | – | 128K |
| Novita AIfp8 | novita/meta-llama/llama-4-maverick-17b-128e-instruct-fp8 | $0.27 | $0.85 | – | – | 1M |
| Oracle Cloud (OCI)fp8 | oci/meta.llama-4-maverick-17b-128e-instruct-fp8 | $0.72 | $0.72 | – | – | 1M |
What Llama 4 Maverick 17B 128e Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Google Vertex AI | $1.275 |
| SambaNova | $2.16 |
| Google Vertex AI batch | $0.6375 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Google Vertex AI | $3.73 |
| SambaNova | $6.66 |
Llama 4 Maverick 17B 128e Instruct features
Input: text, image. Output: text, code.
- Function calling
- Parallel tool calls
- Structured output
- Image input
Use Llama 4 Maverick 17B 128e Instruct with LiteLLM
Call Llama 4 Maverick 17B 128e Instruct 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="vertex_ai/meta/llama-4-maverick-17b-128e-instruct-maas",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-4-maverick-17b-128e-instruct
litellm_params:
model: vertex_ai/meta/llama-4-maverick-17b-128e-instruct-maas
vertex_project: os.environ/VERTEX_PROJECT
vertex_location: os.environ/VERTEX_LOCATIONcurl 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-128e-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 4 Maverick 17B 128e Instruct FAQ
How much does Llama 4 Maverick 17B 128e Instruct cost?
Llama 4 Maverick 17B 128e Instruct costs $0.35 per 1M input tokens and $1.15 per 1M output tokens from Google Vertex AI, the lowest of 9 providers. Batch requests cost $0.175 per 1M input tokens and $0.575 per 1M output tokens.
What is the context window of Llama 4 Maverick 17B 128e Instruct?
Llama 4 Maverick 17B 128e Instruct has a 1,000,000-token context window and returns up to 1,000,000 tokens per response.
Which providers offer Llama 4 Maverick 17B 128e Instruct?
Llama 4 Maverick 17B 128e Instruct is available from 9 providers through LiteLLM: Google Vertex AI, Meta Llama API, SambaNova, Azure AI Foundry, DeepInfra, IBM watsonx.ai, Lambda, Novita AI and Oracle Cloud (OCI). The lowest price is on Google Vertex AI.
How do I call Llama 4 Maverick 17B 128e Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/meta/llama-4-maverick-17b-128e-instruct-maas", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Llama 4 Maverick 17B 128e Instruct support?
Llama 4 Maverick 17B 128e Instruct supports function calling, parallel tool calls, structured output and image input.
When did LiteLLM add Llama 4 Maverick 17B 128e Instruct?
Llama 4 Maverick 17B 128e Instruct was added to LiteLLM's model price file in April 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
- ai.developer.meta.com/docs/models
- cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing
- cloud.sambanova.ai/plans/pricing
- prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'
LiteLLM docs: Google Vertex AI, Meta Llama API, SambaNova, Azure AI Foundry, DeepInfra, IBM watsonx.ai.
Provider pages: Google Vertex AI, Meta Llama API, SambaNova, Azure AI Foundry, DeepInfra, IBM watsonx.ai, Lambda, Novita AI, Oracle Cloud (OCI).
