pfgen-bench - Completion Mode - Helpfulness: 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. Completion mode: the task is shown only through 20 example question-answer pairs. Helpfulness checks the answer for required keywords weighted by importance; higher is better.
Metric: Helpfulness Score. Source: github.com. Saturation forecast: Estimated already saturated. 314 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V3 | 0.82 | #329 |
| 2 | Qwen 3 235B A22B (Non-reasoning) | 0.59 | #323 (Qwen 3 235B A22B) |
| 3 | sarashina2.2-3B-instruct-v0.1 | 0.52 | #1115 |
| 4 | sarashina2-70B | 0.49 | #586 |
| 5 | c4ai-command-r-plus | 0.48 | #760 |
| 6 | sarashina2.2-3B | 0.47 | #766 |
| 7 | plamo-2-8B | 0.46 | #839 |
| 8 | Nemotron-4 340B Instruct | 0.43 | #644 |
| 9 | Mistral Large 2 (Nov) Instruct (2411) | 0.42 | #480 |
| 10 | sarashina2-13B | 0.39 | #898 |
| 11 | Qwen 3 32B (Non-reasoning) | 0.38 | #449 (Qwen 3 32B) |
| 12 | Llama 3.1 405B | 0.37 | #476 |
| 13 | llm-jp-3-13B | 0.35 | #1176 |
| 14 | Qwen 2.5 72B | 0.34 | #512 |
| 15 | sarashina2-7B | 0.32 | #1134 |
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-completion-mode-helpfulness · How It Works · Data refreshed daily, snapshot 2026-11-05.