Cloud baseline

inclusionai/ling-3.1-flash, single model via OpenRouter — 0.6617 on Gauntlet 7.2

inclusionai/ling-3.1-flash · scorer sb-7.2

inclusionai/ling-3.1-flash · single agentOct 9, 2026
Overall
0.6617
Excellent
no
Benchmark
Gauntlet 7.2
Model build
136m 38s
Prompt tok
13.8M
Gen tok
434.7k

Tier breakdown

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

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 × 0.8592 core + 0.12 × 0.88 gate × 0.95 excellence) × 1.0000 critical = 0.8559

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 (14 of 16 met here), then pays out at the excellence tier's own measured mean. Core 0.7561 + excellence 0.0997.

j_first_use 1.00j_workflow_journey 1.00j_error_state 1.00j_empty_state 1.00console_clean 1.00v_responsive_375 0.00v_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 1.00p_under_stream 1.00p_api_latency 1.00p_sync_wall 1.00

Earned score 0.856 · Admission ceiling 0.669 · Final score 0.662

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

Visible: passedMatching: not metGood: not metVisual excellence: not metBackend excellence: passed

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

3D interaction and overview legibility: 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 (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
gemini3206,84211,25321425.1179.0
ling15013,585,003423,4947994.080.8
fleet15313,791,845434,7478390.182.2

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 650x406 at 25 fps to fit 4 MiB, same 222.2 s; graded original sha256 23a9b1e06e40a0b75697d111f23e0f48c8a3f5060ba242ab86c2a86def0807c3
Recording integrity

SHA-256: 2110f9173e2a22eab23848f200cdb961ddb56fb0087a9d00ddd358748daf3371

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
inclusionai/ling-3.1-flash
Engine events
0
Repair rounds
0
Started
Oct 9, 2026, 06:14 PM
Finished
Oct 9, 2026, 08:42 PM