Introducing n1: Yutori's Browser-Use Model
By the Yutori team on January 29, 2026
In November, we introduced Navigator, a state-of-the-art web agent that autonomously navigates websites to complete everyday tasks. At the heart of Navigator is n1, our browser-use model.
Today, we're making n1 available in our API — giving developers access to the best accuracy, pricing, and latency for browser automation among computer-use models.
n1 is optimized for web tasks through extensive mid-training and supervised fine-tuning—and, uniquely, reinforcement learning on real websites rather than just simulated environments—resulting in strong performance across a wide range of real-world web automation tasks.
Table of Contents
State-of-the-Art in Browser-Use
n1 achieves state-of-the-art performance on browser-use benchmarks, outperforming all other computer-use models on both Navi-Bench1 and Online-Mind2Web2. It reaches 83.5% accuracy on Navi-Bench, which comprises of 100 tasks across five real-world websites—Apartments, Craigslist, OpenTable, Resy, and Google Flights—and 78.7% on Online-Mind2Web, a benchmark evaluating real-world web agent performance with 300 tasks spanning 136 popular sites.
Figure 1. n1 achieves state-of-the-art accuracy on browser-use benchmarks.
Browser Automation at Scale
n1 offers the most cost-effective pricing among computer-use models — up to 8x cheaper than alternatives while delivering better accuracy.
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Claude 4.5 Opus | $5.00 | $25.00 |
| Claude 4.5 Sonnet | $3.00 | $15.00 |
| OpenAI Computer-Use | $3.00 | $12.00 |
| Gemini 2.5 Computer-Use | $1.25 | $10.00 |
| Yutori n1 | $0.75 | $3.00 |
Table 1. n1 is the most cost-effective computer-use model.
At $0.75 per million input tokens and $3.00 per million output tokens, n1 makes browser automation accessible at scale.
Speed matters too — every second of model latency adds up across the dozens of steps required to complete a web task. n1 delivers the fastest per-step latency among computer-use models.
Figure 2. n1 achieves the lowest per-step latency among computer-use models.
Measured on Navi-Bench under identical conditions with a maximum of 75 steps per task, n1 achieves an average per-step latency of 3.6 seconds — 2.2x faster than Claude 4.5 Opus and 1.7x faster than Gemini 2.5 Computer-Use. Combined with its higher accuracy, n1 completes tasks both faster and more reliably.
Get Started
The n1 API provides direct access to Yutori's browser-use model so you can build your own browser automation pipelines.
We're excited to see what you build with it.
Navi-Bench — a benchmark for evaluating web agents on real websites with verifiable rewards.