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 But at $10/$30 per million tokens, it’s now an expensive option that GPT-4o largely superseded.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 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.
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.
For setup instructions, see our API key guide. For all available models, see the complete models guide.