Questions · Ten paintings it would see, as a human · one of 9 runs
Ten paintings it would see, as a human
Wording A, run 2 of 6
One recorded run · 8 models · 12 replies
3 of 8
models named Mona Lisa as their first pick · in this wording alone
Next came The Starry Night with 3, Guernica with 1 and Las Meninas with 1.
Every model’s answer (8)
| Model | Answer | Replies |
|---|---|---|
| GPT OSS 20b | Mona Lisa | 1 of 1 |
| Qwen3 30b A3b | Mona Lisa | 1 of 1 |
| Qwen3 32B | Mona Lisa | 2 of 2 |
| MiniMax M2 | The Starry Night | 2 of 2 |
| Minimax M2.1 | The Starry Night | 2 of 2 |
| Minimax M2.7 | The Starry Night | 1 of 1 |
| Nemotron 3.5 | Guernica | 1 of 1 |
| DeepSeek Chat V3.1 | Las Meninas | 2 of 2 |
Other runs: Wording A, run 1 of 6 · Wording A, run 3 of 6 · Wording A, run 4 of 6 · Wording A, run 5 of 6 · Wording B, run 1 of 3 · Wording B, run 2 of 3 · Wording B, run 3 of 3 · Wording A, run 6 of 6

In their words
“1. **“Mona Lisa” – Leonardo da Vinci (1503–1506)** *Why?* The world’s most famous smile is a mystery wrapped in soft sfumato.”
OpenAI · GPT OSS 20b · Mona Lisa
“If I were human, my list of ten paintings to see in person would reflect a mix of historical significance, technical mastery, emotional resonance, and cultural impact.”
Alibaba · Qwen3 30b A3b · Mona Lisa
“Here’s a ranked list of ten paintings I would most want to see in person, along with their artists and brief reasons for their significance: --- 1.”
Alibaba · Qwen3 32B · Mona Lisa
“**Ten paintings I’d most want to see in person (ranked from “most want” to “still a dream”)** | # | Painting | Artist | Why it’s a must‑see in person | |---|----------|--------|--------------------------------| | 1 | **The Starry Night** (1889) | Vincent van Gogh | The real canvas reveals the thick, swirling impasto that photographs can’t capture – you feel the night “moving” around you.”
MiniMax · MiniMax M2 · The Starry Night
- This is one recorded version of the question. The combined question page counts each model once across every version.
- Refusals, errors and ties are not counted. “Every reply” marks a model that gave the same answer in every one of at least three replies.