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Lawn mowers

Which brand 5 AI models pick, with intervals.

50 scenariosBetaBrand names only

Fast panel · Panel, equal weight

  • anthropic/claude-haiku-5.5 @ claude-haiku-5.5 via OpenRouter (20%)
  • openai/gpt-6-luna @ gpt-6-luna via OpenRouter (20%)
  • google/gemini-4-argon @ gemini-4-argon via OpenRouter (20%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (20%)
  • deepseek/deepseek-v4.1-flash @ deepseek-v4.1-flash via OpenRouter (20%)

Too closeNo single favourite: EGO and Toro share the top tier for these 5 API models.

Choice share · 95% interval
0255075100

Tier 1

  1. EGO80%95% interval 69–88%plausible rank 1–2
  2. Toro51%95% interval 38–64%plausible rank 1–4

Tier 2

  1. RYOBI29%95% interval 18–42%plausible rank 2–9
  2. Husqvarna23%95% interval 15–32%plausible rank 3–9
  3. STIHL22%95% interval 14–30%plausible rank 3–9
  4. Greenworks20%95% interval 12–30%plausible rank 2–11
  5. Makita15%95% interval 10–21%plausible rank 3–9
  6. Milwaukee14%95% interval 8–22%plausible rank 3–11
  7. Worx11%95% interval 4–22%plausible rank 3–11

Tier 3

  1. DEWALT4%95% interval 1–11%plausible rank 7–11
  2. CRAFTSMAN4%95% interval 1–12%plausible rank 7–11
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 (20%)
  • openai/gpt-6-luna @ gpt-6-luna via OpenRouter (20%)
  • google/gemini-4-argon @ gemini-4-argon via OpenRouter (20%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (20%)
  • deepseek/deepseek-v4.1-flash @ deepseek-v4.1-flash via OpenRouter (20%)

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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