MSQA - Language Expression and Communication Arts: leaderboard
Metric: F-score (%; harmonic mean of CO, the share of fully correct answers, and CGA, the correct share of attempted answers, over the 220 questions of this cultural dimension; 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 December 2026. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 70.7 |
| 2 | GPT-5.5 | 60.7 |
| 3 | GPT-5.4 | 57.3 |
| 4 | Claude Opus 4.6 | 55.9 |
| 5 | Seed 2.1 Pro | 54.6 |
| 6 | DeepSeek V4 Pro | 54.1 |
| 7 | GPT-5.2 (High) | 52.5 |
| 8 | Claude Opus 4.7 | 49.2 |
| 9 | GLM-5 | 43.8 |
| 10 | Seed 2.0 Pro (High) | 43.6 |
| 11 | Gemini 2.5 Flash | 43.5 |
| 12 | Qwen 3.5 Plus (Thinking) | 41.8 |
| 13 | Seed 2.0 Pro (Medium) | 41.3 |
| 14 | Kimi K2.6 | 40.9 |
| 15 | Kimi K2.5 | 39.9 |
Interactive version: theaggregate.ai/benchmark?slug=msqa-language-expression-and-communication-arts · How It Works · Data refreshed daily, snapshot 2026-09-29.