Model Gateway

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Setup

import { browserbase, Stagehand } from "@browserbasehq/stagehand";

const browser = await browserbase.launch({
  apiKey: process.env.BROWSERBASE_API_KEY,
});
const stagehand = await Stagehand.create({
  browser,
  model: { modelName: "openai/gpt-5" },
});

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Switching models

const stagehand = await Stagehand.create({
  browser: await browserbase.launch({
    apiKey: process.env.BROWSERBASE_API_KEY,
  }),
  model: { modelName: "openai/gpt-5" },
});

const stagehand = await Stagehand.create({
  browser: await browserbase.launch({
    apiKey: process.env.BROWSERBASE_API_KEY,
  }),
  model: { modelName: "anthropic/claude-sonnet-4-6" },
});

const stagehand = await Stagehand.create({
  browser: await browserbase.launch({
    apiKey: process.env.BROWSERBASE_API_KEY,
  }),
  model: { modelName: "google/gemini-2.5-flash" },
});

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Key benefits

• One key, one bill: LLM inference, browser infrastructure, and caching all run through your Browserbase API key. No separate provider accounts to manage.
• Market-price tokens: Tokens are billed at the same price as going direct to the provider. No markup.
• Built-in reliability: Retries, backoff, and rate limit handling are managed for you.
• No tier-gating: Access new models immediately without hitting provider spend thresholds. No need to “earn” access to the latest releases.
• Action caching: Model Gateway works with Stagehand’s managed action caching, so repeated steps are reused instead of re-run, reducing cost and latency across sessions.

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Supported providers

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Pricing

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Next steps