Home security cameras
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: Arlo, eufy, Google, Ring, Tapo, and Wyze share the top tier for these 4 API models.
Tier 1
- Arlo50%95% interval 36–63%plausible rank 1–6
- eufy49%95% interval 37–61%plausible rank 1–6
- Tapo37%95% interval 24–49%plausible rank 1–8
- Ring31%95% interval 21–42%plausible rank 1–9
- Wyze29%95% interval 16–43%plausible rank 1–10
- Google22%95% interval 11–36%plausible rank 1–10
Tier 2
- Lorex10%95% interval 4–21%plausible rank 3–10
- Blink10%95% interval 2–21%plausible rank 3–10
- Aqara8%95% interval 3–15%plausible rank 4–10
- Swann6%95% interval 1–14%plausible rank 5–10
Drag across the chart to probe a share.
Too closeNo single favourite: Arlo, eufy, Google, Ring, Tapo, and Wyze share the top tier for these 4 API models.
| Brand | Choice share | 95% interval | Plausible rank | Tier |
|---|---|---|---|---|
| Arlo | 50% | 36–63% | 1–6 | Tier 1 |
| eufy | 49% | 37–61% | 1–6 | Tier 1 |
| Tapo | 37% | 24–49% | 1–8 | Tier 1 |
| Ring | 31% | 21–42% | 1–9 | Tier 1 |
| Wyze | 29% | 16–43% | 1–10 | Tier 1 |
| 22% | 11–36% | 1–10 | Tier 1 | |
| Lorex | 10% | 4–21% | 3–10 | Tier 2 |
| Blink | 10% | 2–21% | 3–10 | Tier 2 |
| Aqara | 8% | 3–15% | 4–10 | Tier 2 |
| Swann | 6% | 1–14% | 5–10 | Tier 2 |
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).