MSQA - French: leaderboard
Metric: F-score (%; harmonic mean of CO, the share of fully correct answers, and CGA, the correct share of attempted answers, over the 84 French-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 December 2026. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 79.7 |
| 2 | Claude Opus 4.7 | 68.9 |
| 3 | Claude Opus 4.6 | 67.8 |
| 4 | GPT-5.5 | 66.5 |
| 5 | GPT-5.4 | 60.8 |
| 6 | GPT-5.2 (High) | 58.5 |
| 7 | Seed 2.1 Pro | 57 |
| 8 | DeepSeek V4 Pro | 55.1 |
| 9 | Qwen 3.5 Plus (Thinking) | 53.2 |
| 10 | GLM-5 | 52.2 |
| 11 | Kimi K2.6 | 51.8 |
| 12 | Kimi K2.5 | 50.4 |
| 13 | Seed 2.0 Pro (Medium) | 48.2 |
| 14 | Seed 2.1 Turbo | 48.1 |
| 15 | Seed 2.0 Pro (High) | 48 |
Interactive version: theaggregate.ai/benchmark?slug=msqa-french · How It Works · Data refreshed daily, snapshot 2026-09-29.