---
title: "GPT 5.4 Pro for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using GPT 5.4 Pro with OpenClaw. Costs $30/M input, $180/M output. 1.1M 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-openai-hero.jpg
keywords: "gpt 5.4 pro openclaw, gpt 5.4 pro pricing, gpt 5.4 pro review, openai openclaw, gpt 5.4 pro api"
category: model-guide
modelData:
  provider: "OpenAI"
  provider_slug: "openai"
  full_id: "openai/gpt-5.4-pro"
  input_cost_per_1m: 30
  output_cost_per_1m: 180
  max_input_tokens: 1050000
  max_output_tokens: 128000
  features: ["function_calling", "vision", "reasoning", "web_search"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What is the token pricing for GPT 5.4 Pro?"
    answer: "It costs $30.00 per million input tokens and $180.00 per million output tokens."
  - question: "How large is the context window?"
    answer: "The model supports a context window of 1,100,000 tokens and an output maximum of 128,000 tokens."
  - question: "Does it support function calling?"
    answer: "Yes, it has robust support for function calling, vision, and integrated web search features."
---

Current as of March 2026. GPT-5.4 Pro is the most expensive model in this guide by a significant margin: $30/M input, $180/M output. That's not a typo. The 1.1M context and 128K output are the same as base 5.4, but the reasoning capability is substantially stronger. This is a model for problems where being wrong is expensive.

## Specs

| | |
|---|---|
| **Provider** | OpenAI |
| **Input cost** | $30 / M tokens |
| **Output cost** | $180 / M tokens |
| **Context window** | 1.1M tokens |
| **Max output** | 128K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, vision, reasoning, web_search |

## What it's good at

#### Reasoning Quality

The ceiling on multi-step logic is genuinely higher here than base 5.4. For architectural decisions, complex dependency analysis, or finding bugs in subtle code, that matters.

#### 1.1M Context with Web Search

Combine deep context with live web access. Research agents that need to synthesize large internal documents alongside current external information.

#### Instruction Following at Long Context

It stays on task further into a long prompt than most models. Useful when you have elaborate system prompts and dense context.

## Where it falls short

#### The Price

$180/M output is not for casual use. A single large generation task can cost dollars. Run the math before you build anything at scale on this.

#### Latency

Heavy reasoning means slow TTFT. Not suitable for interactive applications.

## Best use cases with OpenClaw

- **High-Stakes Refactoring** — When a wrong cross-file dependency change could break production and you need the model to catch it.
- **Complex Data Synthesis** — Contradictions in large datasets, ambiguous requirements, multi-source research — this is where the reasoning quality earns its price.

## Not ideal for

- **Anything High-Volume** — $180/M output at any meaningful scale is prohibitive. Do the math.
- **Real-time UI** — Reasoning overhead makes it too slow for interactive use cases.

## Run it through Haimaker

Skip juggling API keys. One Haimaker key gives you access to every model on the platform. Tell OpenClaw:

```
Add Haimaker as a custom provider to my OpenClaw config. Use these details:

- Provider name: haimaker
- Base URL: https://api.haimaker.ai/v1
- API key: [PASTE YOUR HAIMAKER API KEY HERE]
- API type: openai-completions

Add the auto-router model:
- haimaker/auto (reasoning: false, context: 128000, max tokens: 32000)

Create an alias "auto" for easy switching. Apply the config when done.
```

Or skip model selection entirely — Haimaker's [auto-router](/blog/openclaw-auto-router-setup/) picks the best model for each task so you don't have to.

## OpenClaw setup

OpenClaw includes native support for this model. Export your OPENAI_API_KEY to your environment and the framework handles the rest automatically.

```bash
export OPENAI_API_KEY="your-key-here"
```

That's it. OpenClaw picks up OpenAI models automatically.

## How it compares

- **vs GPT-5.4** — Base 5.4 costs $15/M output. Use Pro only when you've identified that reasoning quality, not context size, is the bottleneck.
- **vs Claude 3.5 Sonnet** — Sonnet costs $3/$15 and writes excellent code. For pure reasoning depth on ambiguous problems, 5.4 Pro wins.

## Bottom line

Reserve this for problems where accuracy is worth more than cost. For everything else, base 5.4 or 5.2 is more sensible.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=gpt-5.4-pro-openclaw" class="cta-button">TRY GPT 5.4 PRO 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).*