RPCBench - Domain - Amazon Sports - Evidence Faithfulness: leaderboard

RPCBench tests proactive premise critique in recommendation requests. This series measures evidence faithfulness on the Amazon Sports subset (1,270 questions), using the same eleven-model, three-judge experiment as the headline paper. Published EFI fractions from the authors' per-model CSV are scaled once to Faithfulness Index (%). Higher is better; domains and nested premise-error groups are related slices of the same experiment.

Metric: Faithfulness Index (%). Source: github.com. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.591.61#48
2Qwen 3.5 Plus91.3#232
3Qwen 3.5 397B A17B90.75#245
4Qwen 3.5 122B A10B90.16#335
5Qwen 3.5 35B A3B88.94#492
6Gemini 3.1 Pro (Preview)85.91#93
7Claude Sonnet 4.682.17#159
8DeepSeek V4 Pro81.18#188
9DeepSeek V4 Flash80.55#259
10Llama 3.1 70B Instruct50.24#1629
11Llama 3.1 8B Instruct44.09#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-evidence-faithfulness · How It Works · Data refreshed daily, snapshot 2026-11-08.