MSQA - Chinese: leaderboard
MSQA asks short culture-specific questions written by native speakers in their own language, each with one verifiable answer grounded in local sources. This board covers the Chinese-language questions. Answers are free-form, judged for containing the gold answer, and scored as the harmonic mean of the correct share and the correct-given-attempted share, so both wrong answers and refusals cost points (ByteDance Seed, Nanjing University and M-A-P, 2026).
Metric: F-score (%; harmonic mean of CO, the share of fully correct answers, and CGA, the correct share of attempted answers, over the 150 Chinese-language questions; free-form answers to natively sourced culture-specific short questions asked in their own language, five runs per model, scored by a Gemini-3.1-Pro gold-answer containment judge). Source: arxiv.org. Saturation forecast: Around July 2028. 21 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 56.8 | #94 |
| 2 | Seed 2.0 Pro (High) | 55.7 | #211 (Seed 2.0 Pro) |
| 3 | DeepSeek V4 Pro | 50.9 | #188 |
| 4 | Seed 2.1 Pro | 50.7 | #135 |
| 5 | Seed 2.0 Pro (Medium) | 50.2 | #211 (Seed 2.0 Pro) |
| 6 | Seed 2.1 Turbo | 48.7 | #160 |
| 7 | DeepSeek V3.2 | 45.3 | #406 |
| 8 | GPT-5.5 | 44.5 | #49 |
| 9 | Claude Opus 4.6 | 43.9 | #102 |
| 10 | GLM-5 | 43.5 | #260 |
| 11 | Seed 2.0 Lite | 42.2 | #289 |
| 12 | Kimi K2.5 | 41.5 | #256 |
| 13 | Kimi K2.6 | 40.9 | #178 |
| 14 | GPT-5.4 | 38.3 | #123 |
| 15 | Qwen 3.5 Plus (Thinking) | 34.9 | #232 (Qwen 3.5 Plus) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=msqa-chinese · How It Works · Data refreshed daily, snapshot 2026-11-13.