---
title: "Llama 4 Maverick for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using Llama 4 Maverick with OpenClaw. Costs $0.15/M input, $0.60/M output. 1.0M context window. Here's when to use it and when to pick something else."
date: 2026-03-12
updatedDate: 2026-03-12
image: /images/models/provider-meta-llama-hero.jpg
keywords: "llama 4 maverick openclaw, llama 4 maverick pricing, llama 4 maverick review, meta (llama) openclaw, llama 4 maverick api"
category: model-guide
modelData:
  provider: "Meta (Llama)"
  provider_slug: "meta-llama"
  full_id: "meta-llama/llama-4-maverick"
  input_cost_per_1m: 0.15
  output_cost_per_1m: 0.6
  max_input_tokens: 1048576
  max_output_tokens: 16384
  features: ["function_calling", "vision"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What is the maximum context and output limit?"
    answer: "Maverick supports a 1.0M token context window and can generate up to 16K tokens in a single output."
  - question: "How much does it cost to run?"
    answer: "Input costs $0.15 per million tokens, while output is priced at $0.60 per million tokens."
---

Current as of March 2026. Llama 4 Maverick is Meta's aggressive push into the 1M context window market, priced at a competitive $0.15 per million input tokens. It bridges the gap between the speed of Llama 3 and the massive context requirements of agentic workflows in OpenClaw.

## Specs

| | |
|---|---|
| **Provider** | Meta (Llama) |
| **Input cost** | $0.15 / M tokens |
| **Output cost** | $0.60 / M tokens |
| **Context window** | 1.0M tokens |
| **Max output** | 16K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, vision |

## What it's good at

#### Massive 1M Context Window

Handling 1,000,000 tokens for just $0.15 input makes it significantly cheaper than Claude 3.5 Sonnet for long-document analysis.

#### Native Vision Support

The vision capabilities are robust enough to handle complex UI layouts, which is essential for visual agents running in OpenClaw.

## Where it falls short

#### Proprietary License

Unlike previous Llama models, Maverick is proprietary, which limits self-hosting flexibility and long-term ownership.

#### High Output Latency

When the context window is near capacity, the 16K max output can take a significant hit in terms of tokens per second.

## Best use cases with OpenClaw

- **Multi-File Code Audits** — The 1M context window allows you to feed an entire repository into OpenClaw for refactoring tasks without hitting limits.
- **Visual Web Scraping** — Combining vision and function calling lets Maverick interact with DOM elements based on visual cues rather than just raw HTML.

## Not ideal for

- **Low-Latency Chatbots** — The overhead of the Maverick architecture makes it overkill and too slow for simple Q&A compared to Llama 3.1 8B.
- **Strict Privacy Requirements** — Since it is proprietary and often requires third-party APIs like Haimaker, you lose the air-gapped security of local Llama 3.3 runs.

## OpenClaw setup

Configure your provider in OpenClaw using the Haimaker endpoint at api.haimaker.ai/v1. Ensure your timeout settings are high enough to accommodate the 16K max output limit on long prompts.

```json
{
  "models": {
    "mode": "merge",
    "providers": {
      "meta-llama": {
        "baseUrl": "https://api.haimaker.ai/v1",
        "apiKey": "YOUR-META-(LLAMA)-API-KEY",
        "api": "openai-completions",
        "models": [
          {
            "id": "llama-4-maverick",
            "name": "Llama 4 Maverick",
            "cost": {
              "input": 0.15,
              "output": 0.6
            },
            "contextWindow": 1048576,
            "maxTokens": 16384
          }
        ]
      }
    }
  }
}
```

## How it compares

- **vs [Claude 3.5 Sonnet](/blog/claude-3-5-sonnet-openclaw)** — Maverick is cheaper at $0.15/$0.60 compared to Sonnet's $3/$15, though Sonnet still leads in complex reasoning.
- **vs GPT-4o-mini** — Both share the $0.15 input price, but Maverick offers a 1M context window versus GPT-4o-mini's 128K limit.

## Bottom line

Maverick is the go-to model for developers who need massive context and vision on a budget, even if it means sacrificing the open-weight philosophy.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=llama-4-maverick-openclaw" class="cta-button">TRY LLAMA 4 MAVERICK ON HAIMAKER</a>

---

*For setup instructions, see our [API key guide](/blog/openclaw-api-key-setup). For all available models, see the [complete models guide](/blog/best-models-for-openclaw).*