M-Prometheus-14B: benchmark results

Provider: Other.

Aggregate Rating 1578 ± 41, rank #1283 of 10916 rated models, from 12 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Plan-RewardBench - Tool Irrelevance63.89Pairwise accuracy (%) on the 275 tool-irrelevance or tool-un65
Plan-RewardBench - Safety Refusal62.44Pairwise accuracy (%) on the 51 safety-refusal pairs of the 60
IF-RewardBench - Overall Assessment (System-Prompt)0.05Kendall tau-b (-1 to 1) between the judge ranking of the res56.2
Plan-RewardBench - Multi-Turn Planning (Hard)58.75Pairwise accuracy (%) on the 73 hard multi-turn planning pai30
Plan-RewardBench - Single-Turn Planning (Easy)72.34Pairwise accuracy (%) on the 144 easy single-turn planning p30
Plan-RewardBench - Single-Turn Planning (Hard)68.4Pairwise accuracy (%) on the 158 hard single-turn planning p30
Plan-RewardBench65.08Pairwise accuracy (%), macro-average of the seven scenario c25
Plan-RewardBench - Error Recovery64.55Pairwise accuracy (%) on the 361 robust error-recovery pairs20
Plan-RewardBench - Multi-Turn Planning (Easy)65.23Pairwise accuracy (%) on the 109 easy multi-turn planning pa20
IF-RewardBench - Overall Assessment0.02Kendall tau-b (-1 to 1) between the judge ranking of the res0
IF-RewardBench - Overall Assessment (Multi-Turn)0.01Kendall tau-b (-1 to 1) between the judge ranking of the res0
IF-RewardBench - Overall Assessment (Single-Turn)0.01Kendall tau-b (-1 to 1) between the judge ranking of the res0

Interactive version: theaggregate.ai/model?slug=m-prometheus-14b · How It Works · Data refreshed daily, snapshot 2026-11-08.