---
title: "GPT 4 Turbo for OpenClaw: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using GPT 4 Turbo with OpenClaw. Costs $10/M input, $30/M output. 128K 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 4 turbo openclaw, gpt 4 turbo pricing, gpt 4 turbo review, openai openclaw, gpt 4 turbo api"
category: model-guide
modelData:
  provider: "OpenAI"
  provider_slug: "openai"
  full_id: "openai/gpt-4-turbo"
  input_cost_per_1m: 10
  output_cost_per_1m: 30
  max_input_tokens: 128000
  max_output_tokens: 4096
  features: ["function_calling", "vision"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What is the exact context limit?"
    answer: "The model supports a 128,000 token context window, though it can only output 4,000 tokens in a single request."
  - question: "How much will I pay for 1 million tokens?"
    answer: "You will pay $10 for every million input tokens and $30 for every million output tokens."
  - question: "Is vision supported in OpenClaw?"
    answer: "Yes, this model includes vision capabilities that are fully accessible through the standard OpenAI provider in OpenClaw."
---

Current as of March 2026. GPT-4 Turbo was the upgrade over the original GPT-4 — 128K context instead of 8K, plus vision. But at $10/$30 per million tokens, it's now an expensive option that GPT-4o largely superseded. Some teams still use it for stability reasons; I understand the logic, but the cost is hard to justify for most workloads.

## Specs

| | |
|---|---|
| **Provider** | OpenAI |
| **Input cost** | $10 / M tokens |
| **Output cost** | $30 / M tokens |
| **Context window** | 128K tokens |
| **Max output** | 4K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, vision |

## What it's good at

#### Function Calling

Tool schema adherence is strong. Complex multi-tool definitions with nested properties rarely cause argument hallucinations.

#### 128K Context

A big upgrade from original GPT-4. You can actually run RAG pipelines and maintain meaningful conversation history.

## Where it falls short

#### Cost vs GPT-4o

GPT-4o is faster and costs about half as much on input. The performance delta doesn't justify paying more for Turbo on new projects.

#### 4K Output Cap

128K context, 4K output. That's a frustrating ceiling for code generation or documentation tasks where you want a long response.

## Best use cases with OpenClaw

- **Legacy Agents That Rely on Turbo's Behavior** — If you've tested extensively against Turbo and the output format is baked into downstream systems.
- **Vision-Dependent Workflows** — Native multimodal support alongside reliable function calling if GPT-4o's output format doesn't work for you.

## Not ideal for

- **Simple Chatbots** — Massive overkill. Use GPT-4o-mini.
- **Bulk Extraction** — Cost-to-output ratio is poor. There are better options at a fraction of the price.

## 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. You only need to set the OPENAI_API_KEY environment variable and the framework handles the rest.

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

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

## How it compares

- **vs GPT-4o** — 4o is faster, cheaper, and matches or exceeds Turbo on most benchmarks. Hard to defend Turbo for new work.
- **vs Claude 3.5 Sonnet** — Sonnet costs $3/$15 and often writes better code. OpenAI's function calling is more predictable if that matters for your stack.

## Bottom line

Fine if you're already on it and it works. Don't start new projects here — GPT-4o is cheaper and better.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=gpt-4-turbo-openclaw" class="cta-button">TRY GPT 4 TURBO 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).*