FilBench - Generation: leaderboard

From the FilBench leaderboard (Miranda et al., 2025), which evaluates LLMs on Filipino, Tagalog and Cebuano with a lighteval fork. Generation combines the NTREX-128, Tatoeba (Cebuano and Tagalog) and TICO-19 translation tasks, scored with ROUGE-L and weighted by instance count; 0-100, higher is better. Runs missing one of these tasks are omitted.

Metric: Category Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 40 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o (2024-08-06)54.65#343
2GPT-4o Mini47.88#598
3Llama 4 Maverick Instruct FP833.67#424
4DeepSeek V327.53#329
5Llama 3.1 70B Instruct24.03#567
6Llama-SEA-LION-v3-70B-IT23.95#407
7Llama 4 Scout Instruct19.75#547
8gemma2-9B-cpt-sea-lionv3-instruct17.1#717
9Sailor2-20B-Chat15.95#589
10Gemma 2 27B (IT)15.38#652
11Qwen 2.5 72B Instruct14.98#469
12Sailor2-8B-Chat14.29#783
13Qwen 2 72B Instruct12.11#579
14Gemma 2 9B (IT)11.51#795
15Mixtral 8x22B Instruct10.7#738

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

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