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

Metric: Macro-F1 (%) over True and False claims on the temporally held-out Politics French test slice (317 True and 183 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)70.72
2Gemini 2.5 Flash (Non-reasoning)67.49
3aya-expanse-32B66.04
4Gemini 2.5 Flash (Medium)65.71
5Qwen 3 32B (Non-reasoning)62.7
6aya-expanse-8B61.67
7Qwen 3 32B60.56
8Qwen 3 14B (Non-reasoning)59.8
9Qwen 3 14B56.39
10EuroLLM-22B-Instruct-251256.17
11Grok 4.3 (Non-reasoning)52.73
12GPT-5 Nano (Medium)51.62
13Ministral-8B-Instruct-241037.28
14GPT-5 Nano (Minimal)37.01

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