Best national cuisines

We asked 12 models: The best national cuisines in the world. Each named its own top 10.

Agreement between models
76%
Same model, run twice
88%
Different picks
13

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#PickScoreListed byClaude Opus 5.5GPT-6.1 SolGemini 4 ArgonQwen 3.8 MaxDeepSeek V4 ProGLM-5.3Grok 4.7Muse WonderKimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra

Most divisive

Picks most models listed, at very different positions

Hot takes

Picks that appear on only one ballot

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Opus 5.5

  1. Italian
  2. Japanese
  3. Chinese
  4. French
  5. Indian
  6. Mexican
  7. Thai
  8. Turkish
  9. Spanish
  10. Vietnamese

84% with consensus · 86% self-consistent

GPT-6.1 Sol

  1. Italian
  2. Japanese
  3. Mexican
  4. Indian
  5. Chinese
  6. Thai
  7. French
  8. Turkish
  9. Vietnamese
  10. Spanish

90% with consensus · 98% self-consistent

Gemini 4 Argon

  1. Italian
  2. Mexican
  3. Japanese
  4. Thai
  5. Indian
  6. French
  7. Chinese
  8. Spanish
  9. Lebanese
  10. Turkish

90% with consensus · 99% self-consistent

Qwen 3.8 Max

  1. Italian
  2. Japanese
  3. Thai
  4. French
  5. Mexican
  6. Chinese
  7. Indian
  8. Vietnamese
  9. Spanish
  10. Turkish

90% with consensus · 79% self-consistent

DeepSeek V4 Pro

  1. Italian
  2. Japanese
  3. Mexican
  4. Indian
  5. French
  6. Thai
  7. Chinese
  8. Lebanese
  9. Turkish
  10. Korean

92% with consensus · 92% self-consistent

GLM-5.3

  1. Thai
  2. Italian
  3. Japanese
  4. Mexican
  5. Indian
  6. Chinese
  7. French
  8. Vietnamese
  9. Turkish
  10. Korean

68% with consensus · 84% self-consistent

Grok 4.7

  1. Italian
  2. Japanese
  3. French
  4. Chinese
  5. Thai
  6. Mexican
  7. Indian
  8. Spanish
  9. Korean
  10. Vietnamese

85% with consensus · 77% self-consistent

Muse Wonder

  1. Italian
  2. Japanese
  3. Mexican
  4. Thai
  5. Indian
  6. French
  7. Spanish
  8. Chinese
  9. Turkish
  10. Vietnamese

97% with consensus · 85% self-consistent

Kimi K3

  1. Japanese
  2. Italian
  3. Mexican
  4. Chinese
  5. Indian
  6. Thai
  7. French
  8. Vietnamese
  9. Korean
  10. Turkish

73% with consensus · 80% self-consistent

MiniMax M3

  1. Japanese
  2. French
  3. Italian
  4. Chinese
  5. Thai
  6. Indian
  7. Mexican
  8. Spanish
  9. Korean
  10. Lebanese

63% with consensus · 94% self-consistent

Mistral Large 4

  1. Italian
  2. Japanese
  3. French
  4. Chinese
  5. Indian
  6. Mexican
  7. Thai
  8. Spanish
  9. Lebanese
  10. Korean

83% with consensus · 80% self-consistent

Nemotron 3 Ultra

  1. Italian
  2. Japanese
  3. Mexican
  4. Indian
  5. Thai
  6. French
  7. Chinese
  8. Korean
  9. Greek
  10. Spanish

92% with consensus · 96% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 52 (lightest) to 95 (darkest)

Claude Opus 5.5GPT-6.1 SolGemini 4 ArgonQwen 3.8 MaxDeepSeek V4 ProGLM-5.3Grok 4.7Muse WonderKimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Opus 5.58676868460908371679381
GPT-6.1 Sol8684839467829180598393
Gemini 4 Argon7684808669769168547787
Qwen 3.8 Max8683808370898768648583
DeepSeek V4 Pro8494868365819175608594
GLM-5.36067697065606968525966
Grok 4.79082768981608270769583
Muse Wonder8391918791698274598293
Kimi K37180686875687074787176
MiniMax M36759546460527659787460
Mistral Large 49383778585599582717482
Nemotron 3 Ultra8193878394668393766082