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

Metric: Macro-F1 (%) over True and False claims on the temporally held-out Politics English test slice (318 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 March 2027. 15 models tracked.

Top models

#ModelScore
1aya-expanse-32B71.79
2Qwen 3 32B (Non-reasoning)68.63
3Grok 4.3 (Medium)67.65
4Gemini 2.5 Flash (Medium)67.45
5Gemini 2.5 Flash (Non-reasoning)65.66
6aya-expanse-8B62.71
7Qwen 3 32B62.65
8Qwen 3 14B (Non-reasoning)62.07
9Qwen 3 14B56.99
10GPT-5 Nano (Medium)55.47
11Grok 4.3 (Non-reasoning)54.93
12EuroLLM-22B-Instruct-251254.75
13Ministral-8B-Instruct-241039.59
14GPT-5 Nano (Minimal)39.45

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