Cloud baseline

deepseek/deepseek-v4.1-flash, single model via OpenRouter — 0.5910 on Gauntlet 7.2

deepseek/deepseek-v4.1-flash · scorer sb-7.2

deepseek/deepseek-v4.1-flash · single agentOct 4, 2026
Overall
0.5910
Excellent
no
Benchmark
Gauntlet 7.2
Model build
37m 2s
Prompt tok
26.5M
Gen tok
268.6k

Tier breakdown

A · structure & runtime1.00
B · behaviour1.00
C · vendor contract0.93
D · finesse0.97

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 × 0.8527 core + 0.12 × 0.94 gate × 0.80 excellence) × 1.0000 critical = 0.8403

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 (15 of 16 met here), then pays out at the excellence tier's own measured mean. Core 0.7504 + excellence 0.0900.

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

Earned score 0.840 · Admission ceiling 0.599 · Final score 0.591

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: passed

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

Tower structure, currency mapping and scene truth: s_visible_surface, t_height_pixels, t_vs7dbg_truth (maximum 0.669)

3D interaction and overview legibility: t_pick_real_pass, t_camera_math, t_brush_link, t_stream_diff, q_overview_legibility, q_inspector_framing (maximum 0.699)

Event animation and backend recovery: m_committed_event_replay (maximum 0.899)

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
deepseek13526,512,022268,62896762.0192.3
fleet13526,512,022268,62896762.0192.3

Graded browser recording

Loading duration…

Watch an excerpt of the generated application during browser grading. 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 / —:—
Open recording file

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

Graded browser recording re-encoded to 780x488 at 25 fps to fit 4 MiB, same 192.1 s; graded original sha256 7282ac329d17f42c0f8208e600fbd857524144ed2792e829094f3f4782a7414a
Recording integrity

SHA-256: 01154237aa56fbdb1cee19029433d01e80f507979550a3deb501eec77b7012f7

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
deepseek/deepseek-v4.1-flash
Engine events
0
Repair rounds
0
Started
Oct 4, 2026, 09:12 AM
Finished
Oct 4, 2026, 09:59 AM