Browser Use 0.8.0 introduces ChatBrowserUse gateway which reduces the latency like crazy (6x faster than computer use models) while keeping the same performance.

Our agents can now take 20 steps per minute. How many can a human do?

BU 1.0 achieves the same accuracy (~65%) as other state-of-the-art computer use models (Claude Sonnet 4, Claude Sonnet 4.5, Gemini 2.5 Computer Use, OpenAI Computer-Using Model) while being 4x faster.

The latency shown is pure LLM inference time—just the time the model takes to decide what to do next. Our latency is ~68 seconds per trajectory compared to ~225-330 seconds for other models.

One API Key. That’s It.

All you need is BROWSER_USE_API_KEY, which automatically takes care of everything.

"""
Setup:
1. Get your API key from https://cloud.browser-use.com/dashboard/api
2. Set environment variable: export BROWSER_USE_API_KEY="your-key"
"""

import asyncio
from browser_use import Agent
from browser_use.llm import ChatBrowserUse


async def main():
agent = Agent(
task='Find the number of stars of the following repos: browser-use, playwright, stagehand, react, nextjs',
llm=ChatBrowserUse(),
)

# Run the agent
await agent.run()

That’s it. One environment variable and you’re running at 2x speed.

Get Started

1. Go to cloud.browser-use.com
2. Create a BROWSER_USE_API_KEY
3. Plug it to your .env or to the ChatBrowserUse
4. Enjoy insanely fast browser use inference

Pricing

Enterprise offer and On-Premise deployment

For enterprises that want to speed up their browser use flows by 2x, we can deploy on-prem. If you’re interested in deploying production agents or need help with your use case, reach out to us at x.com/browser_use or contact us at enterprise@browser-use.com.

Update to Browser Use 0.8.0:

uv add browser-use==0.8.0