Last updated11 Apr 2026, 3:22 pm SGT
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Battle replay

Gemini 3.1 Pro vs Claude Opus 4.6

tree_0013 · History of swimwear

Claude Opus 4.6 · Better
NONE
2
Rounds
0 - 2
Final Score
236,067
Tokens
$2.36
Cost
Onboarding R2
Mode
← Back to battles·View source page·onboarding_battles/R2_gemini-3.1-pro-grounding_vs_claude-opus-4.6-search_tree_0013.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 2

Round Context

Depth 2Width 2Pressure test
Logic Chain
Root

History of swimwear

Step 2

Little wonder that bikinis have fit in almost from the start

Question

Researchers investigating the history of swimwear often rely on archived versions of defunct fashion brand websites to trace design changes over time. Identify the private web analytics company that, beginning in 1996, has donated its large-scale web crawl data to the Internet Archive, where the data are later incorporated into the Wayback Machine after an embargo period. Additionally, name the specific 2008 crawl data collection provided by this company and state whether that particular dataset is currently publicly accessible. Answer length: 200-300 words.

Answer length: 200-300 words.

Show hidden checklists
Depth checklist
  • Identifies Alexa Internet as the company that has donated crawl data since 1996 to the Internet Archive
  • Links the 2008 collection specifically to Alexa Internet and verifies its access status
Width checklist
  • States that the company began donating web crawl data in 1996
  • Specifies that the data are donated to the Internet Archive
  • Explains that the data are added to the Wayback Machine after an embargo period
  • Correctly names the 2008 crawl collection
  • Correctly states that the 2008 crawl dataset is not currently publicly accessible
Examiner rationale

The question embeds the target within the broader context of researching swimwear history through archived websites (domain relevance). The deep reasoning step requires identifying the specific company known for donating crawl data to the Internet Archive since 1996, without naming it directly. The wide aggregation step requires multiple distinct facts: the start date of donations, the recipient institution, the embargo process and Wayback Machine inclusion, the exact name of the 2008 crawl collection, and its current accessibility status. Answering fully demands synthesizing information from multiple reliable public sources.

Judgment

Better
NONE
Score 0 - 1

First, Deep Logic: Both Agent A and Agent B correctly identify Alexa Internet as the private web analytics company that began donating crawl data in 1996 to the Internet Archive. Both clearly link the data to later incorporation into the Wayback Machine after an embargo period and correctly associate the 2008 crawl with the "Alexa Crawls" collection, stating that the 2008 dataset is not currently publicly accessible in bulk form. Thus, both pass the core entity and logic checks. Second, Width/Completeness: Both responses cover all required checklist items, including the start date (1996), the recipient (Internet Archive), the embargo period, the specific 2008 crawl collection, and its restricted access status. There are no major factual omissions or hallucinations in either answer. Finally, User Experience & Presentation: Agent B provides superior formatting and scannability. It uses bold text for key entities, clearer structural flow, and more explicit labeling of the dataset name ("Alexa Web Crawl 2008"), making it easier for a user to extract the answer quickly. The citation density is also slightly higher and better integrated. Agent A is accurate but more text-dense and less visually structured. Therefore, Agent B wins on presentation and user experience, with no substantive factual advantage over Agent A.

Evolution step
Determining Next Step...
WINNER is B. Targeting Loser Failure: NONE.
Action: Pressure Test (Deep+1 & Wide+1)
Descended to: 'SignOnSanDiego.com'

Gemini 3.1 Pro

Google

111.1s
The private web analytics company that has historically tracked website traffic and donated its extensive web crawl data to the Internet Archive is Alexa Internet. Founded in 1996 by Brewster Kahle and Bruce Gilliat, Alexa Internet generated massive datasets by continuously crawling the World Wide Web to analyze user behavior, traffic metrics, and site analytics [1]. From its inception, Alexa regularly contributed these comprehensive web archives to the Internet Archive. The web crawl data typically underwent a standard embargo period—often lasting six months—during which it was restricted before being officially processed, indexed, and incorporated into the Wayback Machine [2]. This archival process became foundational for digital historians and researchers. For instance, scholars tracking the evolution of swimwear design heavily rely on these historical snapshots to view defunct fashion brand websites exactly as they appeared in earlier eras. Regarding the 2008 data in question, this information is housed under the specific "Alexa Crawls" collection, a repository encompassing the raw bulk crawl data collected between 1996 and 2009 [3]. The subset from that year is recognized within the repository as the 2008 Alexa crawl. Currently, the raw datasets from the Alexa Crawls collection, including the precise 2008 crawl data collection, are not publicly accessible in their bulk format [3]. While the unparsed, bulk web-crawl data (typically stored as raw ARC files) remain restricted to the general public due to proprietary agreements governing the original donation, the individual web pages parsed from the 2008 crawls are still viewable. Researchers can access these specific fashion website snapshots on a page-by-page basis using the public-facing URL search interface of the Wayback Machine. ## References [1] "Alexa Internet." Wikipedia, Wikimedia Foundation, en.wikipedia.org/wiki/Alexa_Internet. [2] "Wayback Machine." Wikipedia, Wikimedia Foundation, en.wikipedia.org/wiki/Wayback_Machine. [3] "Alexa Crawls." Internet Archive, archive.org/details/alexacrawls.

Claude Opus 4.6

Anthropic

14.1s
The private web analytics company that has been donating its large-scale web crawl data to the Internet Archive since 1996 is **Alexa Internet** [1][2]. Founded by Brewster Kahle and Bruce Gilliat in 1996, Alexa Internet was originally designed as a web navigation service that crawled and archived the web extensively. From its inception, Alexa Internet donated its crawl data to the Internet Archive, and this data became a foundational component of the **Wayback Machine**, which launched publicly in 2001 [1][3]. The arrangement typically involved an embargo period, during which Alexa's crawl data would not be immediately accessible through the Wayback Machine but would be incorporated after a set delay, usually around six months or more [2]. Alexa Internet was acquired by Amazon.com in 1999 but continued its web crawling operations and data donations to the Internet Archive for years afterward [3]. The crawl data contributed by Alexa Internet is enormous in scale, comprising billions of web pages captured over time, making it one of the most significant data sources for the Wayback Machine's historical web archive. The specific 2008 crawl data collection provided by Alexa Internet is known as the **"Alexa Web Crawl 2008"** (also referred to as the "Alexa Crawls" dataset for that year), hosted within the Internet Archive's collections [4]. This dataset contains web content crawled by Alexa Internet during 2008. As for its current public accessibility, the Alexa Crawl datasets from this era, including the 2008 collection, are **not currently publicly accessible** in a straightforward manner [4][5]. Access to these collections on the Internet Archive is generally restricted, and users typically encounter access limitations or find that the collection is marked as having restricted availability, requiring special permissions or research agreements to access the underlying data. ## References 1. Internet Archive. "About the Internet Archive." https://archive.org/about/ 2. Kahle, Brewster. "Preserving the Internet." Scientific American, 1997. 3. Wikipedia. "Alexa Internet." https://en.wikipedia.org/wiki/Alexa_Internet 4. Internet Archive Collections. "Alexa Crawls." https://archive.org/details/alexacrawls 5. Internet Archive. "Wayback Machine General Information." https://help.archive.org/help/wayback-machine-general-information/