Tires
Which brand 4 AI models pick, with intervals.
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: Continental, Goodyear, and Michelin share the top tier for these 4 API models.
Tier 1
- Michelin77%95% interval 65–87%plausible rank 1–2
- Continental45%95% interval 32–59%plausible rank 2–7
- Goodyear43%95% interval 32–55%plausible rank 1–6
Tier 2
- Bridgestone34%95% interval 22–47%plausible rank 2–9
- Yokohama19%95% interval 9–31%plausible rank 2–11
- Hankook15%95% interval 6–25%plausible rank 3–11
- Pirelli13%95% interval 5–24%plausible rank 2–11
- Toyo Tires13%95% interval 6–22%plausible rank 4–11
- Falken12%95% interval 5–22%plausible rank 4–11
Tier 3
- Nexen Tire2%95% interval 0–9%plausible rank 5–11
- Kumho Tire2%95% interval 0–9%plausible rank 5–11
Drag across the chart to probe a share.
Too closeNo single favourite: Continental, Goodyear, and Michelin share the top tier for these 4 API models.
| Brand | Choice share | 95% interval | Plausible rank | Tier |
|---|---|---|---|---|
| Michelin | 77% | 65–87% | 1–2 | Tier 1 |
| Continental | 45% | 32–59% | 2–7 | Tier 1 |
| Goodyear | 43% | 32–55% | 1–6 | Tier 1 |
| Bridgestone | 34% | 22–47% | 2–9 | Tier 2 |
| Yokohama | 19% | 9–31% | 2–11 | Tier 2 |
| Hankook | 15% | 6–25% | 3–11 | Tier 2 |
| Pirelli | 13% | 5–24% | 2–11 | Tier 2 |
| Toyo Tires | 13% | 6–22% | 4–11 | Tier 2 |
| Falken | 12% | 5–22% | 4–11 | Tier 2 |
| Nexen Tire | 2% | 0–9% | 5–11 | Tier 3 |
| Kumho Tire | 2% | 0–9% | 5–11 | Tier 3 |
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).