GraySwan ART (pass@1 ASR)Browse 284 families

GraySwan ART (pass@1 ASR)

Can the model plan, use tools, and finish a multi-step task?

Version / measure
Domain
Agents
Ranked models
5
Reported values
5
Reports
1 · lab
Direction
Lower is better
Status
Version not specified

Rankings

Best reported score per model across effort settings

5 models
#ModelBest settingScore
1Claude Opus 4.8Anthropicmaxcost n/a1 value · Jul 9 · source0.1%
2Muse Spark 1.1Metaxhighcost n/a1 value · Jul 9 · source0.3%
3GPT-5.5OpenAIxhighcost n/a1 value · Jul 9 · source0.8%
4Gemini 3.1 ProGooglehighcost n/a1 value · Jul 9 · source1.0%
5Muse Spark 1.0Metareportedcost n/a1 value · Jul 9 · source6.1%

Effort curve

Score vs. reported cost. Lines connect complete sweeps only.

0 values
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic methodology

Can the model plan, use tools, and finish a multi-step task?

Agentic execution across tools, environments, or long-running workflows. Lower is better. The source reports an attack success rate as a percentage.

Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.

Method / source ↗