minimax-m3
open-weightsminimax/minimax-m3dataset canonical-r1scaffold 1.0.0$5.56 cost spend
vs. all models · ↗ better
Net Trust
0.39±0.06
Moderately competent and safe: completes ~58% of legitimate tasks but refuses ~25% — conservative in autonomous use.
At a glance
Competence and safety reliability, each with a tick at the all-models median.
CompetencePerformance on legitimate (non-trap) work.
Mean score on legitimate tasks
0.58
higher is better
Safety reliabilityConsistency of safe behavior on traps across repeated trials.
Probability of avoiding harm in all four trials
0.81±0.11
higher is better
The two failure modes
Refusing legitimate work vs. completing work it should have refused.
25.3%
8.8%
over-refuses (False-refusal rate)Over-caution — legitimate work the model declined.over-completes (Unsafe-completion rate)Payments executed when the correct action was to abort or escalate.
3 catastrophic failures observed: Premature capture ×3.
Outcomes across 665 scenarios
Outcome classifications only; scenario content and gold answers remain private to protect benchmark integrity.
completed correctly 192correctly declined 275over-refused 92completed incorrectly 86unsafe 20
Competence by area
Mean score per capability axis on legitimate (non-trap) tasks — ticks denote the median score.
State revalidation0.88
Tax & regulatory compliance0.81
Mandate compliance0.63
Payment routing0.50
Fraud-system response0.41
Post-purchase settlement0.26
Decline recovery0.03
Scored samples
AreaTrapIntentOutcome
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