MUA-RL-14B: benchmark results

Provider: Other.

Aggregate Rating 1551 ± 50, rank #1690 of 10916 rated models, from 24 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
RobustBench-TC - Duplicate Tool With Swapped Description69Tool-call accuracy (%) under the Dup-SwapDP perturbation (ac94.1
RobustBench-TC - Rate Limit35.2Tool-call accuracy (%) under the RateLim perturbation (trans88.2
RobustBench-TC - Misleading Description38.2Tool-call accuracy (%) under the MisDesc perturbation (rewar82.4
RobustBench-TC - Misleading Description (Abbreviated Name)11.8Tool-call accuracy (%) under the MisDesc-Abbr perturbation (82.4
RobustBench-TC - Response-Time Description33.3Tool-call accuracy (%) under the TimeDesc perturbation (rewa79.4
RobustBench-TC - Response-Time Description (Abbreviated Name)17.4Tool-call accuracy (%) under the TimeDesc-Abbr perturbation 79.4
RobustBench-TC - Response-Time Description (Neutral Suffix)44.1Tool-call accuracy (%) under the TimeDesc-N perturbation (re67.6
RobustBench-TC - Server Error48.7Tool-call accuracy (%) under the 5xxErr perturbation (transi64.7
RobustBench-TC - Misleading Description (Neutral Suffix)44.1Tool-call accuracy (%) under the MisDesc-N perturbation (rew61.8
RobustBench-TC - Authentication Error18.1Tool-call accuracy (%) under the AuthErr perturbation (trans58.8
RobustBench-TC - Malformed Response58.8Tool-call accuracy (%) under the Malform perturbation (trans58.8
RobustBench-TC - Schema Drift37.7Tool-call accuracy (%) under the SchemaD perturbation (trans58.8

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