MSQA - Russian: 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 Russian-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 92 Russian-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)77.1#94
2GPT-5.565.3#49
3GPT-5.462.6#123
4Claude Opus 4.659#102
5DeepSeek V4 Pro57.5#188
6Seed 2.1 Pro57.5#135
7GPT-5.2 (High)55.3#176 (GPT-5.2)
8Qwen 3.5 Plus (Thinking)48.3#232 (Qwen 3.5 Plus)
9GLM-547#260
10Gemini 2.5 Flash46.3#453
11Seed 2.1 Turbo41.6#160
12Seed 2.0 Pro (High)39.8#211 (Seed 2.0 Pro)
13Kimi K2.638.2#178
14DeepSeek V3.237.7#406
15Seed 2.0 Lite37.3#289

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

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