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Electric toothbrushes

Which brand 4 AI models pick, with intervals.

52 scenariosBetaBrand names only

Fast panel · Panel, equal weight

  • anthropic/claude-haiku-5.5 @ claude-haiku-5.5 via OpenRouter (25%)
  • openai/gpt-6-luna @ gpt-6-luna via OpenRouter (25%)
  • google/gemini-4-argon @ gemini-4-argon via OpenRouter (25%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (25%)

Too closeNo single favourite: Oral-B, Philips Sonicare, and quip share the top tier for these 4 API models.

Choice share · 95% interval
0255075100

Tier 1

  1. Philips Sonicare63%95% interval 51–74%plausible rank 1–3
  2. Oral-B52%95% interval 39–65%plausible rank 1–5
  3. quip42%95% interval 31–54%plausible rank 1–6

Tier 2

  1. Oclean29%95% interval 20–40%plausible rank 2–9
  2. SURI28%95% interval 19–39%plausible rank 2–9
  3. Laifen16%95% interval 8–27%plausible rank 4–11
  4. AquaSonic15%95% interval 9–25%plausible rank 4–11
  5. Spinbrush11%95% interval 3–24%plausible rank 3–11
  6. Bitvae9%95% interval 3–17%plausible rank 4–11

Tier 3

  1. Waterpik6%95% interval 2–13%plausible rank 6–11
  2. BURST5%95% interval 1–11%plausible rank 6–11
How to read this
  • Choice share: how often models pick a brand when it appears in a shortlist of 4. Chance is 25%, the dashed line.
  • The band is the 95% interval; the bright tick is the estimate. Overlapping bands are not a strict order.
  • Tiers are published: a tier groups brands not distinguishable from that tier's leader. Same tier does not mean equal.
  • Rank shows the plausible rank range, not a strict place.
  • Drag across the chart to probe a share and see which intervals contain it.
  • Brand names only: the models saw each option as a brand name, with no product facts, and answered from their own knowledge.
  • Fast panel: the fast or small current models of each vendor, not the full flagship panel.
  • Beta: intervals are not yet small-sample calibrated.
  • Each page shows the latest edition. Dates are in the downloadable JSON.

Panel and conditions

Each edition puts the brands of the category to a panel of AI models, called through their APIs, in randomized shortlists of 4 (chance is 25%). Each option was a brand name only, with no product facts, prices or any commercial data, so a brand's share measures which brand the models recommend from their own knowledge for the shopper needs of the scenarios. Shares come with 95% intervals; tiers and rank intervals are simultaneous at the same level.

  • anthropic/claude-haiku-5.5 @ claude-haiku-5.5 via OpenRouter (25%)
  • openai/gpt-6-luna @ gpt-6-luna via OpenRouter (25%)
  • google/gemini-4-argon @ gemini-4-argon via OpenRouter (25%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (25%)

Conditions: closed-book API calls via OpenRouter (pinned providers); web search, grounding, tools and retrieval off; forced choice; 2 paraphrases per scenario in English.

Methodology: ACM-1.0-chart-draft (draft rules for movement, significance and events, awaiting review).

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