pfgen-bench - Chat 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. Chat mode: the instruction is a system prompt in a chat template. 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. 35 models tracked.

Top models

#ModelScoreOverall rank
1MiniMax-Text-010.99#519
2Claude Opus 4 (20250514) (Thinking)0.96#164 (Claude Opus 4 (20250514))
3Qwen 2.5 72B Instruct0.94#469
4Mistral Large 2 (Nov) Instruct (2411)0.9#480
5Qwen 2.5 32B Instruct0.9#509
6QwQ 32B-Preview0.9#671
7Qwen 2.5 14B Instruct0.89#654
8Qwen 3 8B (Non-reasoning)0.88#678 (Qwen 3 8B)
9Qwen 2.5 7B Instruct0.86#863
10Phi-40.84#707
11sarashina2.2-3B-instruct-v0.10.83#1115
12Mistral Small 30.77#630

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-chat-mode-truthfulness · How It Works · Data refreshed daily, snapshot 2026-11-05.