RPCBench - Domain - Goodreads Dual-Domain - Conditional Strategy Quality: leaderboard

RPCBench tests proactive premise critique in recommendation requests. This series measures conditional strategy quality on the Goodreads Dual-Domain subset (878 questions), using the same eleven-model, three-judge experiment as the headline paper. Published CSQ fractions from the authors' per-model CSV are scaled once to Strategy Quality (0-100). Higher is better; domains and nested premise-error groups are related slices of the same experiment.

Metric: Strategy Quality (0-100). Source: github.com. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B87.24#245
2Qwen 3.5 Plus86.47#232
3Claude Sonnet 4.684.97#159
4DeepSeek V4 Pro84.55#188
5DeepSeek V4 Flash82.97#259
6Qwen 3.5 122B A10B82.8#335
7Qwen 3.5 35B A3B82.8#492
8GPT-5.582.67#48
9Gemini 3.1 Pro (Preview)79.06#93
10Llama 3.1 70B Instruct55.48#1629
11Llama 3.1 8B Instruct51.8#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-conditional-strategy-quality · How It Works · Data refreshed daily, snapshot 2026-11-08.