Best US cities for a 30-year-old engineer

We asked 12 models: The best US cities to live in for a 30-year-old software engineer. Each named its own top 10.

Agreement between models
71%
Same model, run twice
86%
Different picks
16

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

1 lower-scoring picks are not shown; every ballot below lists them in full.

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. Seattle
  2. San Francisco
  3. Austin
  4. New York
  5. Denver
  6. Boston
  7. Raleigh
  8. San Diego
  9. Chicago
  10. Atlanta

90% with consensus · 100% self-consistent

GPT-6.1 Sol

  1. Seattle
  2. San Francisco
  3. New York
  4. Austin
  5. Boston
  6. Chicago
  7. Denver
  8. Raleigh
  9. San Diego
  10. Pittsburgh

80% with consensus · 99% self-consistent

Gemini 4 Argon

  1. Seattle
  2. New York
  3. San Francisco
  4. Austin
  5. Denver
  6. Boston
  7. Raleigh
  8. Chicago
  9. San Diego
  10. Atlanta

85% with consensus · 89% self-consistent

Qwen 3.8 Max

  1. Seattle
  2. Austin
  3. Denver
  4. San Francisco
  5. Raleigh
  6. Boston
  7. San Diego
  8. Atlanta
  9. Portland
  10. Chicago

88% with consensus · 81% self-consistent

DeepSeek V4 Pro

  1. Austin
  2. Seattle
  3. Denver
  4. San Francisco
  5. Raleigh
  6. New York
  7. Boston
  8. Chicago
  9. San Diego
  10. Salt Lake City

76% with consensus · 80% self-consistent

GLM-5.3

  1. Seattle
  2. San Francisco
  3. Austin
  4. Denver
  5. New York
  6. Raleigh
  7. Boston
  8. Chicago
  9. San Diego
  10. Portland

90% with consensus · 88% self-consistent

Grok 4.7

  1. Seattle
  2. Austin
  3. Denver
  4. Boston
  5. New York
  6. Chicago
  7. San Francisco
  8. San Diego
  9. Raleigh
  10. Atlanta

87% with consensus · 79% self-consistent

Muse Wonder

  1. Seattle
  2. Austin
  3. New York
  4. San Francisco
  5. Denver
  6. Boston
  7. San Diego
  8. Chicago
  9. Raleigh
  10. Nashville

90% with consensus · 67% self-consistent

Kimi K3

  1. Austin
  2. Seattle
  3. Denver
  4. Raleigh
  5. San Diego
  6. Boston
  7. San Francisco
  8. New York
  9. Minneapolis
  10. Chicago

68% with consensus · 84% self-consistent

MiniMax M3

  1. San Francisco
  2. Seattle
  3. New York
  4. Austin
  5. Boston
  6. Denver
  7. Los Angeles
  8. Raleigh
  9. San Diego
  10. Chicago

65% with consensus · 87% self-consistent

Mistral Large 4

  1. Austin
  2. Seattle
  3. Denver
  4. Raleigh
  5. Boston
  6. San Francisco
  7. San Diego
  8. Chicago
  9. Atlanta
  10. Nashville

69% with consensus · 79% self-consistent

Nemotron 3 Ultra

  1. San Francisco
  2. Seattle
  3. Austin
  4. New York
  5. Boston
  6. Denver
  7. Raleigh
  8. Atlanta
  9. Chicago
  10. Portland

71% with consensus · 99% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical

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 5.59088796694788658755980
GPT-6.1 Sol9088685886748349805275
Gemini 4 Argon8888736384748653725569
Qwen 3.8 Max7968737880848475547861
DeepSeek V4 Pro6658637871727289589062
GLM-5.39486848071788260716176
Grok 4.77874748472788570567260
Muse Wonder8683868472828564676667
Kimi K35849537589607064509354
MiniMax M37580725458715667505291
Mistral Large 45952557890617266935257
Nemotron 3 Ultra8075696162766067549157