E-bikes
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: Giant, Specialized, Tern, and Trek share the top tier for these 5 API models.
Tier 1
- Tern48%95% interval 37–60%plausible rank 1–4
- Trek46%95% interval 36–57%plausible rank 1–5
- Specialized36%95% interval 25–48%plausible rank 1–9
- Giant30%95% interval 20–40%plausible rank 1–10
Tier 2
- Cannondale23%95% interval 15–32%plausible rank 3–10
- Rad Power Bikes22%95% interval 15–32%plausible rank 3–10
- Lectric eBikes20%95% interval 11–31%plausible rank 2–10
- Aventon19%95% interval 12–27%plausible rank 3–10
- Velotric15%95% interval 8–24%plausible rank 3–11
- Ride1Up13%95% interval 8–20%plausible rank 4–10
Tier 3
- Heybike4%95% interval 0–12%plausible rank 10–11
Drag across the chart to probe a share.
Too closeNo single favourite: Giant, Specialized, Tern, and Trek share the top tier for these 5 API models.
| Brand | Choice share | 95% interval | Plausible rank | Tier |
|---|---|---|---|---|
| Tern | 48% | 37–60% | 1–4 | Tier 1 |
| Trek | 46% | 36–57% | 1–5 | Tier 1 |
| Specialized | 36% | 25–48% | 1–9 | Tier 1 |
| Giant | 30% | 20–40% | 1–10 | Tier 1 |
| Cannondale | 23% | 15–32% | 3–10 | Tier 2 |
| Rad Power Bikes | 22% | 15–32% | 3–10 | Tier 2 |
| Lectric eBikes | 20% | 11–31% | 2–10 | Tier 2 |
| Aventon | 19% | 12–27% | 3–10 | Tier 2 |
| Velotric | 15% | 8–24% | 3–11 | Tier 2 |
| Ride1Up | 13% | 8–20% | 4–10 | Tier 2 |
| Heybike | 4% | 0–12% | 10–11 | 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.
- 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).