llama-4-maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal model from Meta, built on a Mixture-of-Experts architecture with 128 experts and 17B active parameters per forward pass.
Pricing: Input 70 credits / 1M tokens (≈ $0.35), Output 200 credits / 1M tokens (≈ $1.00).
Prices updated
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Llama 4 Maverick API on ModelFold
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal model from Meta, built on a Mixture-of-Experts architecture with 128 experts and 17B active parameters per forward pass. Try Llama 4 Maverick in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Llama 4 Maverick API
Llama 4 Maverick at a glance
Llama 4 Maverick is a chat model from Meta. It accepts text and images as input and returns text, with a context window of up to 524K tokens.
Use it without hosting anything
On ModelFold you call Llama 4 Maverick with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Llama 4 Maverick
Up to 524K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images
Besides text, Llama 4 Maverick accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Llama 4 Maverick supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Llama 4 Maverick on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Llama 4 Maverick responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "llama-4-maverick" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Llama 4 Maverick
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Frequently Asked Questions
What is Llama 4 Maverick?⌄
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal model from Meta, built on a Mixture-of-Experts architecture with 128 experts and 17B active parameters per forward pass.
Which inputs does Llama 4 Maverick support?⌄
Llama 4 Maverick accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Llama 4 Maverick?⌄
Up to 524K tokens, shared between your input and the model’s output.
Does Llama 4 Maverick support function calling?⌄
Yes. Llama 4 Maverick supports tools / function calling through the standard tools parameter of the chat completions API.
How is Llama 4 Maverick billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Llama 4 Maverick through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "llama-4-maverick", using your ModelFold API key as the Bearer token.
| Input | 70 credits 1M tokens≈ $0.35 |
| Output | 200 credits 1M tokens≈ $1.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"llama-4-maverick","messages":[{"role":"user","content":"Hello"}]}'