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Gemini 4 Argon (effort medium · thinking on) on Animate a flickering carved pumpkin on a spooky night in one self-contained HTML file

GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.16
Wall time
3m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate a flickering carved pumpkin on a spooky night in one self-contained HTML file Make a small animated scene: a jack-o'-lantern. 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): `{flame: <number 0..1, the candle brightness now>, pumpkin: {x, y, r}}`. Extra fields are fine. It must describe what is actually drawn. - `pumpkin` is the pumpkin's centre and radius in stage pixels. It is night: keep the page corners and the top-centre edge dark. - 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. `flame_flickers`: across 30 samples over 3 s, `sceneState().flame` stays within 0 to 1, takes at least 6 distinct values (to 3 dp) and spans at least 0.15. 5. `glow_and_night`: the pumpkin (`r` at least 40, centre inside the stage) visibly changes within its box between the first screenshot and a later one over 3 s, and the four page corners and the top centre stay dark (average RGB below 90). 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 flame_flickers glow_and_night no_console_errors

Setup notes: Use Case Scout batch28 case d03-flickering-jack-o-lantern (offline fixture). Prepared with batch28/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. 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
$0.16
Wall time
3m
Human step-ins
0
Turns
7
Model usage
ModelInput tokOutput tokCost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on97,7019,620$0.16

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 1.4.5 (agy -p), cloud.
  3. It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change flame_flickers glow_and_night 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": "result", "result": {"conversation_id": "d6a4fb4a-d89f-47b5-b5c6-4091828a5edc", "status": "SUCCESS", "response": "Created the self-contained animated jack-o'-lantern scene in [scene.html](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d03/work/out/scene.html) matching [spec.json](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d03/work/spec.json):\n\n- **Stage & Title**: Renders a `760x500` `<canvas>` stage with `<title>Jack-o'-lantern 646</title>` against a dark night background (`#06060c`).\n- **Animation & State**: Continuously animates candle flicker (`flame` spanning `0.12` to `0.98`) modulating the carved eyes, nose, mouth, inner flame, pumpkin surface illumination, and ground spill light, while exposing `window.sceneState()` returning `{flame, pumpkin: {x: 380, y: 280, r: 125}}`.\n", "duration_seconds": 184.51141488, "num_turns": 1, "usage": {"input_tokens": 26773, "output_tokens": 9620, "thinking_tokens": 744, "cache_read_tokens": 70928, "total_tokens": 36393}}}

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