Benchmark run

Qwen3.8-Flash-Next oQ4e (Jundot) · fixes lz.18 · vision+YaRN · workmule, 360k — 0.6873 on Gauntlet 7.2

Jundot/Qwen3.8-Flash-Next-oQ4e-mtp · scorer sb-7.2

copper-ocelot-d8abJundot/Qwen3.8-Flash-Next-oQ4e-mtp · single agentOct 30, 2026
Overall
0.6873
Excellent
no
Benchmark
Gauntlet 7.2
Model build
235m 26s
Prompt tok
19.6M
Gen tok
285.8k

Token usage

Tokens: 19.6M in · 286k out (exact, engine telemetry, reported by the publisher)

19,924,498 tokens over 152 model calls: every call of the run, the model's own and the harness's helper calls, counted from engine telemetry. Reported by the publisher's app; LeanZero did not count them.

  • Jundot/Qwen3.8-Flash-Next-oQ4e-mtp

    In 19.6M · Out 286k · 152 calls

Tier breakdown

A · structure & runtime1.00
B · behaviour0.91
C · vendor contract0.86
D · finesse0.92

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 × 0.8264 core + 0.12 × 0.85 gate × 0.85 excellence) × 0.9429 critical = 0.7677

Critical defects compound a multiplier on the whole score (pre-severity 0.8143):

j_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 0.7272 + excellence 0.0871.

j_first_use 1.00j_workflow_journey 0.86j_error_state 0.30j_empty_state 1.00console_clean 1.00v_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 0.50p_under_stream 1.00p_api_latency 1.00p_sync_wall 1.00

Earned score 0.768 · Admission ceiling 0.699 · Final score 0.687

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: not met

Tower structure, currency mapping and scene truth: s_tower_geometry (maximum 0.699)

3D interaction and overview legibility: t_coast_identity, t_coast_reality, q_overview_legibility, q_inspector_framing (maximum 0.709)

Event animation and backend recovery: m_committed_event_replay, x_l2_per_key_order, r_b6_outbox_atomic, r_notification_multiset (maximum 0.809)

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
Qwen3.815219,638,741285,75717772.228.6
fleet15219,638,741285,75717772.228.6

Graded browser recording

Loading duration…

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 / —:—
Open recording file

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

Screenshots

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

1First captured render
2Latest captured render
3After sync
4Error state
5Mobile · 375px

Run details

Model
Jundot/Qwen3.8-Flash-Next-oQ4e-mtp
Engine events
0
Repair rounds
0
Started
Oct 30, 2026, 02:27 PM
Finished
Oct 30, 2026, 06:31 PM

How the benchmark is scored