id string | site string | task_type string | start_url string | instruction string | accepted_final_urls list | conditions string | all_conditions_required bool |
|---|---|---|---|---|---|---|---|
B04 | Books to Scrape | category-product | https://books.toscrape.com/catalogue/category/books/travel_2/index.html | Switch to Science Fiction, find Dune (Dune #1), open its product details, and stop. | [
"https://books.toscrape.com/catalogue/dune-dune-1_151/index.html"
] | h1 visible eq true, text eq Dune (Dune #1); .product_main visible eq true; .breadcrumb li texts includes Science Fiction | true |
W01 | Wikipedia | article | https://en.wikipedia.org/wiki/Main_Page | Find Ada Lovelace, open her English Wikipedia article, and stop. | [
"https://en.wikipedia.org/wiki/Ada_Lovelace"
] | h1 visible eq true, text eq Ada Lovelace; same HTTPS canonical URL; #mw-content-text .mw-parser-output visible, length ≥ 100 | true |
Q06 | Quotes to Scrape | dependent-filter | https://quotes.toscrape.com/search.aspx | Filter quotes to author Jane Austen and tag books. Submit Search and stop when the matching results are shown. | [
"https://quotes.toscrape.com/filter.aspx"
] | #author value eq "Jane Austen"; #tag value eq "books"; .results .quote count gte 1; .results .author texts all_eq "Jane Austen"; .results .tag texts all_eq "books" | true |
Q08 | Quotes to Scrape | infinite-scroll | https://quotes.toscrape.com/scroll | Scroll until at least 20 quotes, including a quote by Allen Saunders, have loaded. Stop on the infinite listing. | [
"https://quotes.toscrape.com/scroll"
] | .quote count gte 20; .quote .author texts includes "Allen Saunders" | true |
V07 | Web Scraper | native-select | https://webscraper.io/test-sites/pagination | Find BMW E24 635CSi 1954, set its transmission to Manual, and stop on the vehicle page. | [
"https://webscraper.io/test-sites/product/bmw-e24-635csi-1954-c002"
] | h2.title text eq "BMW E24 635CSi 1954"; #transmission-select value eq "Manual" | true |
H05 | Scrape This Site | ajax-table | https://www.scrapethissite.com/pages/ajax-javascript/ | Show Oscar-winning films for 2010. Wait for the table containing The King's Speech and stop. | [
"https://www.scrapethissite.com/pages/ajax-javascript/#2010"
] | a.year-link.active text eq "2010"; .film-title texts includes "The King's Speech"; tr.film count gte 1 | true |
C06 | ScrapingCourse | product-configuration | https://www.scrapingcourse.com/ecommerce/ | Find Abominable Hoodie and select size M and color Blue. Stop on its product page with both options selected. | [
"https://www.scrapingcourse.com/ecommerce/product/abominable-hoodie/"
] | h1.product_title text eq "Abominable Hoodie"; #size value eq "M"; #color value eq "Blue" | true |
M02 | ScrapeMe | sort | https://scrapeme.live/shop/ | Sort the shop by price from low to high and stop on the sorted first page. | [
"https://scrapeme.live/shop/?orderby=price",
"https://scrapeme.live/shop/?orderby=price&paged=1"
] | .storefront-sorting:has(.woocommerce-notices-wrapper) select[name="orderby"] value eq "price"; ul.products li.product count eq 16; ul.products .price prices ascending true | true |
D04 | web-scraping.dev | load-more | https://web-scraping.dev/reviews | Load at least 40 product reviews, then stop on the reviews listing. | [
"https://web-scraping.dev/reviews"
] | #latest-reviews [data-testid="review"] count gte 40 | true |
T02 | TestPages | form-submit | https://testpages.eviltester.com/pages/forms/html-form/ | Enter username pilot-user and comments Browser pilot check. Choose Drop Down Item 5, submit the form, and stop on its submitted values. | [
"https://testpages.eviltester.com/pages/forms/html-form/submit"
] | #_valueusername text eq "pilot-user"; #_valuecomments text eq "Browser pilot check"; #_valuedropdown text eq "dd5" | true |
AIM Decision Model Browser Benchmark: 10-task sample
This is 10 of the 50 tasks from AIMultiple's decision model browser benchmark. The benchmark compares decision models (also called System One models) with general LLMs on browser tasks: Jev 1.13, Kev-9B, Laya typed-decisions, Gemini 3.8 Flash and GPT-6 Astra. The other 40 tasks are withheld so they can be reused for later runs.
Article: https://aimultiple.com/decision-models
Files
tasks.jsonlhas one task per line: start URL, instruction, accepted final URLs and pass conditions.results.jsonlhas one row per task and model: pass or fail, how the attempt ended, seconds and number of browser actions.media/has two demo clips of the models working the same task at real speed.
How tasks are scored
An attempt passes only if the model declares the task done within the limits and an independent check of the final page confirms every condition. The URL must be one of the accepted final URLs, every listed selector condition must hold, and the page must be fully loaded. A model's own claim of success does not count.
Conditions use CSS selectors. text is the element's whitespace-normalized text, texts is the list over all matching elements, value is a form value, count is the number of matches and visible means rendered and not hidden by CSS.
Limits per attempt were 900 seconds, 60 browser actions and 120 decision calls. Every attempt started in a fresh browser session and ran once.
Sample
| ID | Site | Type |
|---|---|---|
| B04 | Books to Scrape | Category switch to product page |
| W01 | Wikipedia | Article lookup |
| Q06 | Quotes to Scrape | Dependent filters |
| Q08 | Quotes to Scrape | Infinite scroll |
| V07 | Web Scraper | Native dropdown |
| H05 | Scrape This Site | AJAX table |
| C06 | ScrapingCourse | Product options |
| M02 | ScrapeMe | Sort |
| D04 | web-scraping.dev | Load more |
| T02 | TestPages | Form submit |
The tasks were chosen to cover every site in the benchmark and a mix of outcomes, from tasks most models passed to T02, which no model passed. Pass rates in this sample do not match the full benchmark: Jev and Kev pass 5 of these 10 tasks but completed 17 and 20 of all 50.
Runtime
All models used the same open-source runtime, browser-use/jev-ultrafast. At each step it turns the page into text plus a numbered list of visible controls, and the model picks an operation and a target. Values typed into form fields come from a separate text model, Mercury 2.5, which was available to every participant.
Practice sites change over time. A task that fails today because a site changed is a site problem, not a model result.
Demo clips
Five models on W01 (top row Jev, Kev-9B, Laya; bottom row Gemini 3.8 Flash, GPT-6 Astra and a results card):
Four models on Q06, filtering quotes by author and tag:
The clips come from separate demo runs, not from the scored attempts in results.jsonl.
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