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Grocery delivery services

Which brand 4 AI models pick, with intervals.

42 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%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (25%)
  • deepseek/deepseek-v4.1-flash @ deepseek-v4.1-flash via OpenRouter (25%)

Too closeNo single favourite: FreshDirect, Instacart, Kroger, and Walmart share the top tier for these 4 API models.

Choice share · 95% interval
0255075100

Tier 1

  1. Instacart62%95% interval > 50%–74%plausible rank 1–4
  2. FreshDirect44%95% interval 30–58%plausible rank 1–5
  3. Kroger36%95% interval 24–48%plausible rank 1–7
  4. Walmart34%95% interval 22–48%plausible rank 1–9

Tier 2

  1. Amazon Fresh26%95% interval 17–37%plausible rank 2–9
  2. Shipt17%95% interval 8–28%plausible rank 3–9
  3. Albertsons15%95% interval 7–24%plausible rank 3–9
  4. DoorDash8%95% interval 2–17%plausible rank 4–10
  5. Gopuff8%95% interval 2–19%plausible rank 4–10

Tier 3

  1. Uber Eats0%95% interval 0–10%plausible rank 8–10
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%)
  • mistralai/mistral-large-4-0 @ mistral-large-4-0 via OpenRouter (25%)
  • deepseek/deepseek-v4.1-flash @ deepseek-v4.1-flash 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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