Pickup trucks
Which brand 5 AI models pick, with intervals.
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: Ford, Ram, and Toyota share the top tier for these 5 API models.
Tier 1
- Toyota58%95% interval 44–71%plausible rank 1–3
- Ford36%95% interval 25–49%plausible rank 1–4
- Ram32%95% interval 21–45%plausible rank 1–5
Tier 2
- Honda22%95% interval 13–34%plausible rank 2–6
- GMC13%95% interval 6–22%plausible rank 3–7
- Nissan9%95% interval 3–17%plausible rank 4–7
Tier 3
- Chevrolet4%95% interval 0–12%plausible rank 5–7
Drag across the chart to probe a share.
Too closeNo single favourite: Ford, Ram, and Toyota share the top tier for these 5 API models.
| Brand | Choice share | 95% interval | Plausible rank | Tier |
|---|---|---|---|---|
| Toyota | 58% | 44–71% | 1–3 | Tier 1 |
| Ford | 36% | 25–49% | 1–4 | Tier 1 |
| Ram | 32% | 21–45% | 1–5 | Tier 1 |
| Honda | 22% | 13–34% | 2–6 | Tier 2 |
| GMC | 13% | 6–22% | 3–7 | Tier 2 |
| Nissan | 9% | 3–17% | 4–7 | Tier 2 |
| Chevrolet | 4% | 0–12% | 5–7 | 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.
- Models chose on EPA specification facts only; purchase price, reliability and availability were not assessed.
- 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 in randomized shortlists of 4 (chance is 25%). In each scenario, every brand in the shortlist is shown by its catalog configuration that best fits that shopper's stated requirements (never by price or any commercial data), so a brand's share measures how its best-fitting configuration competes — not an average over all its trims or sales. 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).