Llama 4 Maverick
by MetaReleased Apr 5, 2025
meta-llama/llama-4-maverick- Reads images
- Calls tools
- Answers in a JSON schema
- Caches long prompts
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
- Input / 1M tokens
- $0.22
- Output / 1M tokens
- $0.78
- Context
- 1.05M
- Longest answer
- 16K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.22 / 1M |
| Output tokens | $0.78 / 1M |
| Cached input, read | $0.06 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0008
- calls per $20
- 24K
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersNo
- Searches the webNo
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "meta-llama/llama-4-maverick", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text and Images
- Writes
- Text
- Context
- 1,048,576 tokens
- Longest answer
- 16,384 tokens
- Intelligence index
- 10 (#156 of 219 rated)
- Knowledge cutoff
- Aug 31, 2024
- Released
- Apr 5, 2025
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- logit_bias
- logprobs
- max_tokens
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Questions
How much does Llama 4 Maverick cost?
$0.22 per million input tokens and $0.78 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0008.
How do I call Llama 4 Maverick?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id meta-llama/llama-4-maverick. The token's AI credit pays for each call.
How long a prompt can Llama 4 Maverick take?
Up to 1,048,576 tokens of context, and up to 16,384 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
More from Meta
Output price per 1M tokens
Similar in price
Output price per 1M tokens
