Disentangling Language Roles in Multilingual L: leaderboard
Metric: JointSuccess (self-reported). Source: benchmarklist.com. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 Max | 84 |
| 2 | DeepSeek R1 | 82.2 |
| 3 | Qwen 3.5 Plus | 82 |
| 4 | GPT-5.4 Mini | 81.5 |
| 5 | GPT-5.4 | 79.9 |
| 6 | DeepSeek V3.2 | 79.6 |
| 7 | DeepSeek V3.1 | 78.6 |
| 8 | GPT-5.3 Codex | 78.1 |
| 9 | Claude Sonnet 4.6 | 76.7 |
| 10 | Gemini 2.5 Flash Lite | 76.7 |
| 11 | Qwen 3.5 Flash | 76.5 |
| 12 | GPT-4.1 | 75.8 |
| 13 | Claude Opus 4.1 | 74.1 |
| 14 | Llama 3.3 70B | 74 |
| 15 | Gemini 2.5 Flash | 72.7 |
Interactive version: theaggregate.ai/benchmark?slug=disentangling-language-roles-in-multilingual-l · How It Works · Data refreshed daily, snapshot 2026-09-05.