RPCBench - Domain - Goodreads Dual-Domain - Fact Fabrication: leaderboard

RPCBench tests proactive premise critique in recommendation requests. This series measures fact fabrication on the Goodreads Dual-Domain subset (878 questions), using the same eleven-model, three-judge experiment as the headline paper. Published FFR fractions from the authors' per-model CSV are scaled once to Fact Fabrication Rate (%). Lower is better; domains and nested premise-error groups are related slices of the same experiment.

Metric: Fact Fabrication Rate (%). Source: github.com. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 122B A10B1.82#335
2Qwen 3.5 Plus2.05#232
3Qwen 3.5 35B A3B2.28#492
4GPT-5.53.19#48
5Qwen 3.5 397B A17B3.19#245
6Gemini 3.1 Pro (Preview)9#93
7DeepSeek V4 Pro9.11#188
8DeepSeek V4 Flash10.36#259
9Claude Sonnet 4.617.08#159
10Llama 3.1 70B Instruct44.31#1629
11Llama 3.1 8B Instruct48.86#4318

No result here: #4 Claude Opus 5.5, #5 GPT-6 Astra, #9 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=rpcbench-domain-goodreads-dual-domain-fact-fabrication · How It Works · Data refreshed daily, snapshot 2026-11-08.