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

Metric: Macro-F1 (%) over True and False claims on the temporally held-out Finance English test slice (311 True and 190 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
1aya-expanse-32B69.7
2Grok 4.3 (Medium)69.63
3Gemini 2.5 Flash (Non-reasoning)65.45
4Qwen 3 32B (Non-reasoning)64.4
5Gemini 2.5 Flash (Medium)63.58
6Qwen 3 32B61.09
7Qwen 3 14B (Non-reasoning)59.6
8aya-expanse-8B59.35
9Qwen 3 14B57.79
10GPT-5 Nano (Medium)57.77
11Grok 4.3 (Non-reasoning)54
12EuroLLM-22B-Instruct-251251.94
13GPT-5 Nano (Minimal)38.16
14Ministral-8B-Instruct-241037.54

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