Cloud baseline

tencent/hy4-preview, single model via OpenRouter — 0.4293 on Gauntlet 7.2

tencent/hy4-preview · scorer sb-7.2

tencent/hy4-preview · single agentOct 6, 2026
Overall
0.4293
Excellent
no
Benchmark
Gauntlet 7.2
Model build
76m 23s
Prompt tok
25.0M
Gen tok
236.0k

Tier breakdown

A · structure & runtime1.00
B · behaviour0.94
C · vendor contract1.00
D · finesse0.87

Scoring detail

How this score was built

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

Earned credit before admission

(0.88 × 0.6525 core + 0.12 × 0.82 gate × 0.59 excellence) × 0.6789 critical = 0.4293

Critical defects compound a multiplier on the whole score (pre-severity 0.6325):

b_money_rendered 0.30 → ×0.72j_workflow_journey 0.86 → ×0.94

The core (88% of the total) is the weighted mean of the thirteen measured tiers. The last 12% is the excellence slice: it unlocks in proportion to the perfection conditions below (12 of 16 met here), then pays out at the excellence tier's own measured mean. Core 0.5742 + excellence 0.0582.

j_first_use 1.00j_workflow_journey 0.86j_error_state 0.30j_empty_state 1.00console_clean 41.00v_responsive_375 1.00v_dates_readable 1.00t_scene_binding 1.00x_conservation_residual 1.00r_no_row_loss 1.00p_drag_frames 0.00p_idle_flatness 1.00p_stream_apply 1.00p_under_stream 1.00p_api_latency 1.00p_sync_wall 1.00

Earned score 0.429 · Admission ceiling 0.599 · Final score 0.429

Final score is the lower of earned credit and the admission ceiling. Passing admission adds no points.

Visible: not metMatching: not metGood: not metVisual excellence: not metBackend excellence: not met

Visible data-backed 3D: s_visible_surface (maximum 0.599)

Tower structure, currency mapping and scene truth: s_visible_surface, s_tower_geometry, s_currency_collar, t_vs7dbg_truth (maximum 0.639)

3D interaction and overview legibility: t_draw_budget, t_pick_buffer, t_pick_real_pass, t_camera_math, t_coast_identity, t_coast_reality, t_labels_culling, t_brush_link, q_overview_legibility, q_inspector_framing (maximum 0.699)

Event animation and backend recovery: m_committed_event_replay, r_notifier_exactly_once, r_notification_multiset (maximum 0.839)

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
hy415124,973,607236,03635131.465.0
fleet15124,973,607236,03635131.465.0

Graded browser recording

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Watch the full graded browser recording at its original speed: the payment field, structure inspection, committed updates and replay. The check results and screenshots on this page provide the wider evidence. Pause or scrub to inspect a view.

Each tower represents a payment: height encodes its amount, cap color its status, and the collar its currency. The selected detailed tower is expected to animate its collar after a committed backend update or replay. These are the task requirements; the check results show what this app actually achieved.

Ready to play0:00 / —:—
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Drag the timeline to seek. Keyboard: arrow keys move 5 seconds; Home and End jump to the start and end.

Full graded browser recording: payment field, structure inspection, committed updates and replay
Recording integrity

SHA-256: 144c38649eb223b6f861868d44c448b4c0a6df1a426fa845a09a753e93127cce

Screenshots

Captured from the built application during browser grading. Captions identify the recorded views and checks; these images do not represent repair rounds.

1Initial app view
2Error state
3Payment workflow
4First captured render
5Latest captured render

Run details

Model
tencent/hy4-preview
Engine events
0
Repair rounds
0
Started
Oct 6, 2026, 03:24 PM
Finished
Oct 6, 2026, 04:49 PM