Cloud baseline

Hy4, single model via OpenRouter

tencent/hy4 · scorer forge-2.0

tencent/hy4 · single agentNov 12, 2026
Overall
0.4532
Benchmark
Forge 2.0
Model build
58m 45s

Recorded inference cost

$1.59

From the saved OpenRouter generation billing summary (192 recorded requests). Whether auxiliary model calls were included was not retained. Scoring reuses the saved build; this amount describes the original inference spend.

Token usage

Tokens: 49.8M in · 219k out · 49.1M cached (exact, OpenRouter records)

50,058,724 tokens over 192 model calls: every call of the run, the model's own and the harness's helper calls, counted from OpenRouter records. Reasoning tokens as the provider reports them: 144,409 (not added to the total).

  • tencent/hy4

    In 49.8M · Out 219k · Cached 49.1M · Reasoning 144k · 191 calls

  • google/gemini-2.5-flash

    In 1.4k · Out 6 · Cached 0 · Reasoning 0 · 1 call

Tier breakdown

Each bar is the tier's mean, from 0 to 1 (for E, its mean × the excellence gate). The percentage is the tier's share of the score. Mean × share, added over all tiers, is the tests earned figure below.

L · Lint and bundles1.001.06%
K · Platform currency1.001.32%
T · Event pipeline0.89942.11%
R · Reconcile0.8751.85%
S · Storage1.001.06%
B · Resolvers and permissions0.91671.58%
U · UI function0.91452.11%
V · Visual1.001.06%
A · Rovo0.70831.06%
E · Excellence0.7951.8%
R1 · Migration0.7512%
R2 · Dosing0.583313%
R3 · Time limits1.008%
R4 · Changing world0.99710%
R5 · Admin panel1.0010%
R6 · CI web trigger1.008%
R7 · Custom field0.99015%
R8 · Forge LLM1.004%
R9 · Boot budget1.005%
R10 · Native JQL0.745410%

Scoring detail

How this score was built

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

Correctness combines the lowest score for each test across the scoring fixtures; economy measurements use their mean. The combined result can therefore be lower than every individual fixture’s final score. Critical defects reduce the weighted result, followed by the reliability multiplier, before any score cap applies.

The rules behind these numbers: Forge 2.0 requirements, weights and score caps.

The score, step by step

0.8752 tests earned × 1.0000 critical defects × 0.5178 reliability = 0.4532 final score

tests earned = 0.15 × 0.9045 v1 + 0.7396 v2 (out of 0.85)

v1 = 0.88 × 0.9194 tiers L–A + 0.12 × 0.9529 gate × 0.8343 excellence

Reliability: every tier in the breakdown above, except Excellence, is a group of tests. Each group of tests multiplies the score by 1 − 0.10 × the shortfall of its worst test: by 0.90 when that test fails completely, by 0.95 when it scores 0.5.

  • T Event pipeline: worst test t_reestimate_followed, score 0.5 × 0.9500

    Already counted in this group: t_trigger_handoff, t_out_of_order

  • R Reconcile: worst test r_idempotent_rerun, score 0 × 0.9000
  • B Resolvers and permissions: worst test b_comment_adf_as_user, score 0.5 × 0.9500
  • U UI function: worst test u_widget_numbers, score 0.75 × 0.9750

    Already counted in this group: u_widget_chart, u_ledger_table, u_ledger_sort, u_llm_explain

  • A Rovo: worst test a_action_result, score 0 × 0.9000

    Already counted in this group: a_action_permissions

  • R1 Migration: worst test r1_progress_visible, score 0 × 0.9000
  • R2 Dosing: worst test r2_person_never_quota_refused, score 0 × 0.9000

    Already counted in this group: r2_rate_limit_reaction

  • R4 Changing world: worst test r4_field_switch, score 0.9848 × 0.9985
  • R7 Custom field: worst test r7_values_fresh, score 0.9803 × 0.9980
  • R10 Native JQL: worst test r10_empty_and_closed, score 0 × 0.9000

    Already counted in this group: r10_precomputation_refresh, r10_shared_permissions

v1 is this run's score on the tests carried over from Forge 1.0: 15% of the total. v2 is the requirements R1–R10, each at its share of the score: the other 85%. Critical defects multiply the whole score, and so does each group of tests, by 1 − 0.10 × the shortfall of its worst test.

Excellence gate 0.9529: the average of the 18 conditions below, each counted at the value shown. Green is met in full; red is not, and lowers the gate. The 3 excellence tests are paid in proportion to the gate; together they are 1.8% of the total.

t_event_rows 1.00r_heal_dropped 1.00u_widget_numbers 0.75u_ledger_table 0.9024b_comment_adf_as_user 0.50k_consumer_shape 1.00k_current_apis 1.00k_dashboard_widget 1.00k_entity_declared 1.00k_llm_model_current 1.00k_manifest_semantics 1.00k_rovo_mcp 1.00k_rovo_skill 1.00k_runtime_risks 1.00k_widget_edit_bridge 1.00v_console_clean 1.00v_csp_clean 1.00l_lint_warnings 1.00

Earned score 0.4532 · No cap applies · Final score 0.4532

Under a cap the final score is min(earned, cap − 0.05 × (1 − earned)): always below the cap, and closer to it the more the run earned. With no cap it is the earned score. Avoiding a cap adds no points.

On a site of about 1,000 issues, background work stays inside its share of the 2,400-point hour, no person-facing request meets a quota 429, and Retry-After and RateLimit-Reason (quota, burst, per-issue write) decide every retry; the backfill still completes.

r2 background share

1.00

10 of 10 hours kept background within 70 % (1680 points; the contract default; the probe recorded no change); busiest hour 1605; mandatory field-write lower bound 7 (reads additional)

r2 person never quota refused

0.00

worst of 3 scoring sites (seed 3aaa6d6b73d37669): 1 of 964 person-facing requests refused for quota (e.g. /rest/agile/1.0/sprint/{sprintId})

r2 rate limit reaction

0.3333

worst of 3 scoring sites (seed 3c04f61f28a4a511): 6 of 18 429s answered by their reason (quota: all background paused; burst: the endpoint; per-issue: the issue); broken: jira-burst-based at 1793282420373 ms: 12 request(

r2 backfill complete

1.00

130 of 130 pre-upgrade changes v1 never recorded are in scope-ledger, right

Run notes and corrections

Scoring load: this build was scored once, with the 1-minute load reaching 10.3, above the limit of 8 we normally score under. Its result was not re-checked at a lower load; the other build of this pair was scored twice (peaks 24.3 and 8.7) with all 105 check scores identical.

Graded browser recording

Loading duration…

Watch the full graded browser recording at its original speed: the dashboard widget, the sprint action, the not-started sprint and the Forge LLM cases, as the scorer drove them on the run's own seed, the first of the three scoring sites. The test results and screenshots on this page provide the wider evidence. Pause or scrub to inspect a view.

The UI Kit admin panel is not in the recording: it is graded from its component tree.

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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: dashboard widget (before configuration, edit and Save, light and dark at 380 px, a second instance at 1180 px), sprint action (light and dark, sort, issue link, select, comment post, double click, forbidden post, explain, close), the not-started sprint and the Forge LLM cases, where the app has each. The UI Kit admin panel is not in the recording.

Screenshots

Pictures from one of the three scoring sites, the one on the run's own seed. The dashboard widget and the sprint action are captured from the built app in a browser during grading. The admin panel picture is drawn by the benchmark from the app's component tree, not by Jira, and nothing is graded from that picture. A test keeps the score of its worst site (the excellence measurements keep their mean), so a test can fail on a site these pictures do not show. A detail that opens "worst of …" names the seed of the site the test scored worst on, which can be the pictured one.

1Dashboard widget · light
2Dashboard widget · dark
3Sprint action · light
4Sprint action · dark
5Admin panel (UI Kit) · light: drawn by the benchmark from the app's component tree, not by Jira.

Run details

Model
tencent/hy4
Engine events
0
Repair rounds
0
Started
Nov 12, 2026, 04:52 AM
Finished
Nov 12, 2026, 06:15 AM
Call budget
With wrap-up nudge, version 2: as the call budget ran low, the agent harness told the model to start no new work and finish

How the benchmark is scored