How we test.

Same tasks and judge for every model.

180 real tasks; the agent works through each on live websites; a judge checks a weighted rubric; every model gets a score from 0 to 100, plus cost and time per task.

Score vs. cost.

Up and to the left is better.

Model cost only. Lab models ran in the open-source BrowserCode harness, ours in Browser Use.

Leaderboard.

Best setting per model.

#ModelScoreCost / taskMinutes
Browser UseBU fast72.911¢9.2
1GPT-6.1 Solhigh81.3$1.9214.3
2GPT-6 Solhigh79.4$1.8611.0
3GPT-6.1 Terrahigh79.0$1.268.8
4GPT-6 Astramedium77.9$10.778.7
5Kimi K3.1 Prohigh76.7$1.898.8
6Claude Opus 5.5high75.0$2.3511.8
6DeepSeek V4.1 Flash 1017max75.022¢16.8†
8Grok 4.7high73.3$3.4617.6
9Claude Sonnet 5.5high72.7$1.539.4
10Claude Fable 5.1high72.0$5.1917.2
11DeepSeek V4.1 Flashmax70.918¢17.5
12GPT-5.6 Lunaxhigh69.628¢14.6
13Claude Haiku 5.5xhigh69.546¢14.2
14GPT-6 Lunamax69.222¢16.6
15Claude Opus 566.8$4.7219.0
16GLM 5.3 FlashXmax59.755¢14.1
17MiniMax M3.1 Flashmedium50.613¢47.1
Show all 40 settings
#ModelScoreCost / taskMinutes
Browser UseBU fast72.911¢9.2
1GPT-6.1 Solhigh81.3$1.9214.3
2GPT-6.1 Solmedium79.6$1.307.9
3GPT-6 Solhigh79.4$1.8611.0
3GPT-6 Solxhigh79.4$3.0015.7
5GPT-6.1 Terrahigh79.0$1.268.8
6GPT-6.1 Solxhigh78.5$2.2318.5
7GPT-6 Astramedium77.9$10.778.7
8Kimi K3.1 Prohigh76.7$1.898.8
9DeepSeek V4.1 Flash 1017max75.022¢16.8†
9Claude Opus 5.5high75.0$2.3511.8
11GPT-6.1 Sollow74.775¢4.6
12GPT-6 Solmedium74.4$1.025.9
13DeepSeek V4.1 Flash 1017low74.012¢11.6†
14DeepSeek V4.1 Flash 1017high73.615¢12.6†
15Grok 4.7high73.3$3.4617.6
16Claude Sonnet 5.5high72.7$1.539.4
17Claude Fable 5.1high72.0$5.1917.2
18GPT-6 Solmax71.5$4.7121.6
19DeepSeek V4.1 Flashmax70.918¢17.5
20GPT-5.6 Lunaxhigh69.628¢14.6
21Claude Haiku 5.5xhigh69.546¢14.2
22GPT-6 Lunamax69.222¢16.6
23GPT-6 Lunaxhigh69.016¢11.3
24GPT-6 Lunahigh68.912¢12.0
25Claude Opus 566.8$4.7219.0
26Claude Haiku 5.5max65.3$1.0721.0
27GPT-6 Lunamedium64.37.7¢7.8
27Claude Haiku 5.5high64.323¢9.3
29GPT-6 Solnone63.5$1.215.4
30GPT-6 Sollow63.344¢3.5
31GLM 5.3 FlashXmax59.755¢14.1
32Claude Haiku 5.5medium53.49.2¢5.2
33MiniMax M3.1 Flashmedium50.613¢47.1
34MiniMax M3.1 Flashhigh49.513¢47.5
35MiniMax M3.1 Flashlow48.611¢44.3
36Claude Haiku 5.5low45.62.7¢2.4
37GPT-6 Lunanone37.69.1¢3.7
38GPT-6 Lunalow36.21.3¢1.4
39GPT-5.6 Lunanone31.04.0¢2.1

† Ran on different CI runners, so its time is not comparable.

Tasks
180 long tasks, live sites
Judge
GPT-5.6 Luna xhigh, weighted rubric
Cost
Model tokens only
Time
Median minutes per task

Runner, tasks and rubrics on GitHub

FAQ

Which LLM is best for browser agents?

GPT-6.1 Sol high: 81.3 of 100 at $1.92 a task, on 180 tasks on live websites. Next is GPT-6 Sol high at 79.4.

Which model is the best value?

GPT-6.1 Terra high: 79.0 at $1.26 a task, 2.3 points under the top for 35% less. It is the cheapest setting within 3 points of the top score.

How does Browser Use's own agent score?

72.9 at 11¢ a task, 18× less than the top score. No setting in the test scores higher at that price or below.

How is it scored?

An LLM judge (GPT-5.6 Luna xhigh) checks each task against a weighted rubric. Mean weighted rubric score per task, 0-100. Estimated model cost per task in USD. Excludes search, judge, browser and runner costs.

What about earlier benchmarks?

Internal Bench Hard and BU Bench V1 came before Browser Use Bench v2.1. Browser Use's own agent scored highest on both.

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