IFEval-TR - Turkish (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. This series is the Turkish-specific set: 412 examples written from scratch around 50 Turkish cultural and historical topics, each combining one to three constraints. Loose scoring applies Turkish morphology-aware normalisation through Zemberek. Scores are prompt-level accuracy. This series reports IFEval-TR - Turkish (loose) using Accuracy (%).
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 27B FP8 | 88.27 | #171 |
| 2 | Qwen 3.8 27B | 85.92 | #123 |
| 3 | Qwen 3.5 9B | 85.11 | #391 |
| 4 | GPT-OSS-120B | 72.75 | #346 |
| 5 | Gemma 3 27B (IT) | 70.87 | #528 |
| 6 | Gemma 3 12B (IT) | 68.2 | #672 |
| 7 | GPT-OSS-20B | 63.59 | #523 |
| 8 | Gemma 3 4B (IT) | 62.38 | #997 |
| 9 | GPT-4o Mini | 60.2 | #598 |
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-turkish-loose · How It Works · Data refreshed daily, snapshot 2026-11-05.