Kimi / MODEL EVIDENCE
1 benchmarks · 2 observations · 1 sources
1 benchmarks · large dot: Kimi K3.1 Pro / Kimi Code; small dots: closest models where reported
Kimi K3.1 Pro / Kimi Code · xdev-Bench-hard · pass@3 · Kimi K3.1 Pro · internal xdev-bench-hard ↗
64.5% · Kimi K3.1 Pro / Kimi Code · xdev-Bench-hard · Average success rate · Kimi K3.1 Pro · internal xdev-bench-hard · Introducing Kimi K3.1 Pro ↗
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
1 of 1 shared benchmark comparisons
1 of 1 shared benchmark comparisons
1 of 1 shared benchmark comparisons
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
POST-TRAINING / SOURCE DISCLOSURE
K3.1 Pro starts from Kimi K3 and expands joint reinforcement learning across many downstream domains. The announcement ties the scale-up to long-context inference, sandbox infrastructure, rollout scheduling and environment checks.
The announcement does not specify the complete loss, training mixture or per-stage compute. The systems note is background; it does not establish that K3.1 Pro uses DAPO.
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
Kimi K3.1 Pro / Kimi Code