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Computer monitors

Which brand 5 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 (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: ASUS, BenQ, Dell, and LG share the top tier for these 5 API models.

Choice share · 95% interval
0255075100

Tier 1

  1. Dell60%95% interval 48–72%plausible rank 1–4
  2. BenQ47%95% interval 34–60%plausible rank 1–5
  3. LG40%95% interval 31%–< 50%plausible rank 1–7
  4. ASUS39%95% interval 28%–< 50%plausible rank 1–8

Tier 2

  1. Samsung23%95% interval 13–33%plausible rank 2–10
  2. ViewSonic17%95% interval 9–27%plausible rank 3–11
  3. Lenovo13%95% interval 4–25%plausible rank 3–11
  4. HP13%95% interval 5–24%plausible rank 4–11
  5. MSI11%95% interval 4–21%plausible rank 5–11
  6. GIGABYTE8%95% interval 3–16%plausible rank 5–11

Tier 3

  1. Acer5%95% interval 2–10%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 (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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