CommunityFact (Closed-Input) - Politics (Portuguese): leaderboard

Metric: Macro-F1 (%) over True and False claims on the temporally held-out Politics Portuguese test slice (303 True and 198 False standalone claims built from helpful X Community Notes, labels grounded in the note), closed-input (the model sees only the claim and its timestamp, no web search), zero-shot verdict prompt in the claim language; open models greedy, closed models at default settings with reasoning effort medium in their thinking runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 15 models tracked.

Top models

#ModelScore
1Grok 4.3 (Medium)73.24
2aya-expanse-32B66.71
3Gemini 2.5 Flash (Non-reasoning)66.06
4Gemini 2.5 Flash (Medium)65.67
5Qwen 3 32B (Non-reasoning)64.83
6Qwen 3 14B (Non-reasoning)63.72
7aya-expanse-8B62.47
8Qwen 3 32B60.72
9EuroLLM-22B-Instruct-251259.53
10Qwen 3 14B57.9
11GPT-5 Nano (Medium)55.35
12Grok 4.3 (Non-reasoning)53.06
13GPT-5 Nano (Minimal)37.39
14Ministral-8B-Instruct-241034.56

Interactive version: theaggregate.ai/benchmark?slug=communityfact-closed-input-politics-portuguese · How It Works · Data refreshed daily, snapshot 2026-10-07.