MSQA - English: 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 English-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 151 English-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 February 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)74.9#94
2Claude Opus 4.662.1#102
3DeepSeek V4 Pro60.5#188
4GPT-5.558.8#49
5Claude Opus 4.758.4#79
6Seed 2.1 Pro57.8#135
7GPT-5.457.2#123
8Kimi K2.654.8#178
9Seed 2.0 Pro (High)53.3#211 (Seed 2.0 Pro)
10GLM-553#260
11Kimi K2.551.4#256
12GPT-5.2 (High)51#176 (GPT-5.2)
13DeepSeek V3.250.7#406
14Seed 2.1 Turbo50.3#160
15Seed 2.0 Pro (Medium)50.3#211 (Seed 2.0 Pro)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=msqa-english · How It Works · Data refreshed daily, snapshot 2026-11-13.