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Gemini 4 Argon (effort medium · thinking on) on Animate a metronome that ticks a repeating two-tempo pattern in one self-contained HTML file

GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.6 (agy -p) · cloud · 2026-10-23 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.12
Wall time
2m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate a metronome that ticks a repeating two-tempo pattern in one self-contained HTML file Make a small animated scene: a metronome. Write one file, `out/scene.html`, that works opened straight from disk with no network access. `spec.json` gives the page title, the stage size and the scene parameters. **Looks are not scored**: the page is opened in a headless browser (800x600 window, UTC time zone, network blocked) and checked by objective tests only. ## Scene contract - Draw the scene on one `<canvas>` or `<svg>` stage of `width` x `height` CSS pixels (spec.json), visible on load, with `<title>` containing spec.json `title`. - Animate continuously from load (`requestAnimationFrame` or timers); no click is needed unless stated below. - Expose `window.sceneState()`, returning the scene's current state in stage pixel coordinates (origin top-left of the stage): `{beats: <integer number of beats completed>, angle_deg: <arm angle, positive to the right>}`. Extra fields are fine. It must describe what is actually drawn. - Time 0 is `performance.now()` 0 (seconds = `performance.now()` / 1000). The tempo follows `pattern` in order: `beats` beats at the first `bpm`, then `beats` beats at the next, then the pattern repeats. A beat lasts 60 / bpm seconds, and the count starts at 0 before the first beat completes. The arm is at +`amplitude_deg` at time 0 and reaches the opposite side at each completed beat. `sceneState()` must return the state at the moment it is called. - The page must log no errors and throw no exceptions. Keep the file at most 200,000 bytes; no external scripts, fonts, images or URLs (inline everything). ## Checks (partial credit = share passed) 1. `self_contained`: `out/scene.html` exists, is at most 200,000 bytes, references no http(s) or protocol-relative URL, and requests nothing from the network when opened. 2. `has_canvas_or_svg`: a visible `<canvas>` or `<svg>` of at least 300x200 CSS pixels is on the page. 3. `frames_change`: over 3 s, some later screenshot differs from the first in at least 0.1% of pixels, and at least 3 of 30 screenshots differ. 4. `beat_count`: at every sample `sceneState().beats` equals the number of beats completed since time 0 under spec.json `pattern` (a 30 ms margin either side of a beat is allowed). 5. `arm_follows_beats`: at every sample `angle_deg` is within 4° of `amplitude_deg` × cos(π × b), where b is the fractional number of beats since time 0. 6. `no_console_errors`: no uncaught exception, `console.error` or browser error is logged during the run. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a Google account via Antigravity CLI, not billed per token).

Success criteria: self_contained has_canvas_or_svg frames_change beat_count arm_follows_beats no_console_errors

Setup notes: batch30 case o08-metronome-tempo-pattern (offline fixture). Prepared with batch30/prepare.sh on the shared box; only TASK.md + starting files went to the agent machine, hidden keys stayed on the box. Prompt = TASK.md verbatim. Flags: -p --model gemini-4-argon-medium --sandbox --dangerously-skip-permissions --disable-slash-commands --output-format stream-json, cwd=workdir. Scored on the box with `MEDIA_DIR=<dir> python3 score.py WORKDIR KEYDIR`. Single run, no retries, no human input. Gallery media (3 s headless-Chrome capture: poster.png + clip.mp4, network blocked) written to a fresh MEDIA_DIR by the scorer; SHA-256 in evidence.media. Autonomous case (seed 1586925717): no stand-in user; any ask/ file counts as an intervention and blocks a pass. Requested model gemini-4-argon-medium (effort medium); priced at the base model row gemini-4-argon (pricing.json, https://ai.google.dev/gemini-api/docs/pricing). Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (Google account, nothing billed per token); output_tokens include thinking tokens. Tool calls 6 (0 failed). Single run.

Estimated cost List-price estimate; not actually billed.

Output

Metrics

Estimated cost
$0.12
Wall time
2m
Human step-ins
0
Turns
7
Model usage
ModelInput tokOutput tokCost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on85,2396,086$0.12

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Gemini 4 Argon (google/gemini-4-argon, effort medium · thinking on) via Antigravity CLI 1.4.6 (agy -p), cloud.
  3. It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change beat_count arm_follows_beats no_console_errors
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Evidence log
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{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "BPM starting"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " from `performance.now()"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " === 0`, swinging across"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " `\u00b125\u00b0` (`"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "25 * cos(\u03c0 * b)"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`).\n- **State Inspection**: Exposes `window.sceneState()` returning `{ beats, angle_deg, fractio"}}
{"event": "step_update", "step_update": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "step_index": 13, "state": "DONE", "step_type": "agent_response", "text_delta": "nal_beats, bpm }` synchronized with the rendered canvas.\n", "duration_seconds": 11.168227713, "usage": {"input_tokens": 3152, "output_tokens": 270, "thinking_tokens": 17, "cache_read_tokens": 12716, "total_tokens": 3422}}}
{"event": "result", "result": {"conversation_id": "d701d97f-2468-4ab8-b5ca-fc22a2cfeba6", "status": "SUCCESS", "response": "Created [out/scene.html](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o08/work/out/scene.html) implementing the self-contained animated metronome according to [spec.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o08/work/spec.json):\n\n- **Stage & Title**: Renders a `700x450` `<canvas>` stage with `<title>Metronome 596</title>` and no external dependencies or URLs.\n- **Two-Tempo Pattern & Physics**: Alternates between 2 beats at 180 BPM and 3 beats at 210 BPM starting from `performance.now() === 0`, swinging across `\u00b125\u00b0` (`25 * cos(\u03c0 * b)`).\n- **State Inspection**: Exposes `window.sceneState()` returning `{ beats, angle_deg, fractional_beats, bpm }` synchronized with the rendered canvas.\n", "duration_seconds": 138.896487052, "num_turns": 1, "usage": {"input_tokens": 24067, "output_tokens": 6086, "thinking_tokens": 1364, "cache_read_tokens": 61172, "total_tokens": 30153}}}

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