IFEval-TR - Average (loose): leaderboard

Measures verifiable instruction following in Turkish on IFEval-TR, a Turkish adaptation of Google's IFEval covering 910 examples and 25 constraint types across length, keyword and letter frequency, formatting, casing, punctuation and start/end markers. Every constraint is checked by a deterministic verifier; no LLM judge is involved. The Translated set is 498 examples rendered from the English IFEval with language-dependent parameters also translated; the Turkish set is 412 examples written from scratch around 50 Turkish cultural and historical topics. Strict scoring requires exact string matching, while loose scoring applies Turkish morphology-aware normalisation through Zemberek. Average (loose) is the mean of prompt-level loose accuracy over the Translated and Turkish sets, and is the board's primary metric and default sort key. This series reports IFEval-TR - Average (loose) using Accuracy (%).

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 27B FP879.11#171
2Qwen 3.8 27B76.1#123
3Qwen 3.5 9B75.83#391
4GPT-OSS-120B69.74#346
5Gemma 3 27B (IT)65.56#528
6Gemma 3 12B (IT)64.32#672
7GPT-OSS-20B62.7#523
8GPT-4o Mini58.3#598
9Gemma 3 4B (IT)58#997

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=ifeval-tr-average-loose · How It Works · Data refreshed daily, snapshot 2026-11-05.