RPCBench - Domain - Amazon Sports - Fact Fabrication: leaderboard

RPCBench tests proactive premise critique in recommendation requests. This series measures fact fabrication on the Amazon Sports subset (1,270 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 Plus0.71#232
2Qwen 3.5 397B A17B0.79#245
3Qwen 3.5 122B A10B0.94#335
4Qwen 3.5 35B A3B1.34#492
5GPT-5.52.05#48
6DeepSeek V4 Pro6.06#188
7Gemini 3.1 Pro (Preview)6.69#93
8DeepSeek V4 Flash7.64#259
9Claude Sonnet 4.68.98#159
10Llama 3.1 70B Instruct35.83#1629
11Llama 3.1 8B Instruct43.62#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-amazon-sports-fact-fabrication · How It Works · Data refreshed daily, snapshot 2026-11-08.