EWMBench componentBrowse 284 families

EWMBench component

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

Version / measure
Domain
Agents
Ranked models
11
Reported values
11
Reports
1 · lab
Direction
Higher is better
Status
Version not specified

Rankings

Best reported score per model across effort settings

11 models
#ModelBest settingScore
1KlingExternal baselinereportedcost n/a1 value · Jun 15 · source0.259
2Sora2OpenAIreportedcost n/a1 value · Jun 15 · source0.247
3LVPExternal baselinereportedcost n/a1 value · Jun 15 · source0.218
4Veo 3Googlereportedcost n/a1 value · Jun 15 · source0.214
5Qwen-RobotWorldQwenreportedcost n/a1 value · Jun 15 · source0.208
6GigaWorldExternal baselinereportedcost n/a1 value · Jun 15 · source0.205
7WowExternal baselinereportedcost n/a1 value · Jun 15 · source0.193
8Wan2.6External baselinereportedcost n/a1 value · Jun 15 · source0.162
9VidarExternal baselinereportedcost n/a1 value · Jun 15 · source0.161
10LTX-2External baselinereportedcost n/a1 value · Jun 15 · source0.143

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. Higher is better. This benchmark reports points rather than percent correct.

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

EWMBench normalized component metrics; source abbreviations are preserved.

Method / source ↗
EWMBench component · Benchmaxxer