Cloud baseline

Meta Muse Spark 1.2 — 0.1238 on Gauntlet 7.0

muse-spark-1.2 · scorer sb-7.0

Aug 24, 2026
Overall
0.1238
Excellent
no
Benchmark
Gauntlet 7.0
Recorded duration
8m 43s
Prompt tok
5.6M
Gen tok
79.1k

Tier breakdown

A · structure & runtime1.00
B · behaviour0.91
C · vendor contract1.00
D · finesse0.80

Scoring detail

How this score was built

Per-check scorer output, as posted by the app. Expand a section to inspect its checks.

The number, exactly

(0.88 × 0.6356 core + 0.12 × 0.44 gate × 0.26 excellence) × 0.2160 critical = 0.1238

Critical defects compound a multiplier on the whole score (pre-severity 0.5729):

b_money_rendered 0.00 → ×0.60j_loads_data 0.00 → ×0.60j_workflow_journey 0.00 → ×0.60

The core (88% of the total) is the weighted mean of the ten measured tiers. The last 12% is the excellence slice: it unlocks in proportion to the perfection conditions below (7 of 16 met here), then pays out at the excellence tier's own measured mean. Core 0.5593 + excellence 0.0136.

j_first_use 0.00j_workflow_journey 0.00j_error_state 0.00j_empty_state 1.00console_clean 21.00v_responsive_375 0.00v_dates_readable 0.00t_scene_binding 0.00x_conservation_residual 1.00r_no_row_loss 1.00p_drag_frames 0.00p_idle_flatness 1.00p_stream_apply 0.00p_under_stream 1.00p_api_latency 1.00p_sync_wall 1.00

Run notes and corrections

Cloud baseline — a single goose run session on the frozen sb-7 spec (Meridian Payments Console: two services, 12,288-payment collection, signed webhooks, maker/checker approval workflow, instanced WebGL 3D field), scored by the frozen sb-7 scorer. Screenshots are the scorer's own render-gate captures of the built app. Full sb-7 tier means (the schema's tierA–tierD carry only A–D): A 1.0000 · B 0.9091 · C 1.0000 · D 0.8000 · J 0.2857 · V 0.1000 · P 0.6667 · T 0.0574 · X 0.8333 · R 0.8800 · E 0.1133.

Token rates

Measured by the engine itself, one record per completed model call: prefill rate is prompt tokens over time-to-first-token, generation rate is completion tokens over the decode window. Medians per node.

NodeCallsPrompt tokGen tokPrefill tok/sGen tok/s
muse625,579,88679,12023474.35121.9
fleet625,579,88679,12023474.35121.9

Screenshots

Recorded views of the built application. Captions identify the available captures; the number of images does not imply a number of repair rounds.

1First render — before repairs
2Final render
33D field · 12,288 instanced columns · WebGL
4Approval workflow · drafts panel
5After sync

Run details

Model
muse-spark-1.2