FilBench - Cultural Knowledge: leaderboard

From the FilBench leaderboard (Miranda et al., 2025), which evaluates LLMs on Filipino, Tagalog and Cebuano with a lighteval fork. Cultural Knowledge combines Global-MMLU (Tagalog), INCLUDE, KALAHI and StingrayBench semantic appropriateness, weighted by instance count; accuracy 0-100, higher is better. Runs missing one of these tasks are omitted.

Metric: Category Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 38 models tracked.

Top models

#ModelScoreOverall rank
1Llama-SEA-LION-v3-70B-IT76.78#407
2Llama 4 Maverick Instruct FP876.75#424
3Llama 4 Scout Instruct74.31#547
4GPT-4o (2024-08-06)73.29#343
5Qwen 2.5 72B Instruct73.11#469
6Llama 3.1 70B Instruct72.16#567
7Gemma 3 27B (IT)71.41#528
8Qwen 3 32B71.29#449
9c4ai-command-a-03-202569.95#468
10Gemma 2 27B (IT)68.76#652
11Gemma 3 12B (IT)67.34#672
12Qwen 2.5 32B Instruct66.83#509
13Sailor2-20B-Chat66.43#589
14gemma2-9B-cpt-sea-lionv3-instruct64.44#717
15Gemma 2 9B (IT)63.69#795

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

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