Kitchen knives
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: MAC Knife, Shun, Victorinox, and Wusthof share the top tier for these 5 API models.
Tier 1
- Wusthof55%95% interval 44–67%plausible rank 1–4
- Victorinox41%95% interval 31–51%plausible rank 1–6
- Shun36%95% interval 26–47%plausible rank 1–7
- MAC Knife34%95% interval 24–44%plausible rank 1–7
Tier 2
- Zwilling32%95% interval 22–41%plausible rank 2–8
- Global25%95% interval 15–35%plausible rank 2–10
- Mercer Culinary19%95% interval 11–28%plausible rank 3–10
- Dalstrong12%95% interval 6–20%plausible rank 5–11
Tier 3
- Misen11%95% interval 5–19%plausible rank 6–11
- Made In9%95% interval 4–17%plausible rank 6–11
- Cutco3%95% interval 0–11%plausible rank 8–11
Drag across the chart to probe a share.
Too closeNo single favourite: MAC Knife, Shun, Victorinox, and Wusthof share the top tier for these 5 API models.
| Brand | Choice share | 95% interval | Plausible rank | Tier |
|---|---|---|---|---|
| Wusthof | 55% | 44–67% | 1–4 | Tier 1 |
| Victorinox | 41% | 31–51% | 1–6 | Tier 1 |
| Shun | 36% | 26–47% | 1–7 | Tier 1 |
| MAC Knife | 34% | 24–44% | 1–7 | Tier 1 |
| Zwilling | 32% | 22–41% | 2–8 | Tier 2 |
| Global | 25% | 15–35% | 2–10 | Tier 2 |
| Mercer Culinary | 19% | 11–28% | 3–10 | Tier 2 |
| Dalstrong | 12% | 6–20% | 5–11 | Tier 2 |
| Misen | 11% | 5–19% | 6–11 | Tier 3 |
| Made In | 9% | 4–17% | 6–11 | Tier 3 |
| Cutco | 3% | 0–11% | 8–11 | 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).