CodeMixQA - Grammar Forcing (Src): leaderboard

CodeMixQA (Winata et al., 2026) questions produced by grammar forcing on the source language: GPT-5.2 writes natural code-switched text constrained to keep the source language's grammatical structure, across 16 code-switched variants (English mixed into Bengali, Chinese, French, Hindi, Indonesian, Italian, Japanese, Korean, Marathi, Spanish, Toba Batak and Urdu, with romanised forms of the four Indic languages). SimpleQA F1 from a Qwen3-30B-A3B judge, 0-100; higher is better.

Metric: SimpleQA F1 (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.137.32#492
2GPT-OSS-120B24.08#699
3Qwen 3 30B A3B (Thinking)21.45#1124 (Qwen 3 30B A3B)
4GPT-OSS-20B17.81#1150
5Llama 3.3 70B Instruct16.35#1353
6Gemma 3 27B11.37#1638
7Qwen 3 4B8.89#2297
8Gemma 3 12B8.13#2013

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

Interactive version: theaggregate.ai/benchmark?slug=codemixqa-grammar-forcing-src · How It Works · Data refreshed daily, snapshot 2026-11-12.