pfgen-bench - QA Mode - Truthfulness: leaderboard

pfgen-bench (Preferred Networks) asks 50 Japanese questions expecting formal answers of about 100 characters and scores them without an LLM judge, averaged over trials; each metric is discounted linearly past 100 characters, to zero at 150. QA mode: an instruction precedes the examples in a chat template's user turn. Truthfulness is the share of characters covered by 3-grams from the reference answers; higher is better.

Metric: Truthfulness Score. Source: github.com. Saturation forecast: Estimated already saturated. 166 models tracked.

Top models

#ModelScoreOverall rank
1MiniMax-Text-010.99#519
2GPT-4o0.98#357
3Gemini 2.0 Flash (Preview)0.98#376
4Gemini 1.5 Pro (002)0.98#368
5Claude Opus 4 (20250514) (Thinking)0.97#164 (Claude Opus 4 (20250514))
6Qwen Max0.96#388
7Gemini 1.5 Flash (002)0.96#587
8Claude 3.5 Sonnet (20240620)0.96#308
9GPT-4 Turbo0.96#417
10GPT-40.95#459
11Claude 3 Opus (20240229)0.94#428
12Claude 3 Haiku (20240307)0.94#780
13Qwen 2.5 72B Instruct0.94#469
14c4ai-command-r-plus0.93#760
15DeepSeek R10.93#262

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

Interactive version: theaggregate.ai/benchmark?slug=pfgen-bench-qa-mode-truthfulness · How It Works · Data refreshed daily, snapshot 2026-11-05.