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Gemini 4 Argon (effort medium · thinking on) on Animate balls dropped onto a floor that bounce with real gravity and restitution 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
$0.13
Wall time
2m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate balls dropped onto a floor that bounce with real gravity and restitution in one self-contained HTML file Make a small animated scene: a set of bouncing balls. 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): `{balls: [{name, x, y, vy}, ...]} (y is the bottom of the ball, growing downwards)`. Extra fields are fine. It must describe what is actually drawn. - Each ball is released from rest at `drop_height_px` above `floor_y` at load (time 0 = `performance.now()` 0) and falls under `gravity_px_s2`; at each bounce its speed is multiplied by its `restitution` (the rebound speed, not the height). A ball whose rebound speed falls below 5 px/s comes to rest. `sceneState()` must return positions 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. `free_fall`: `sceneState().balls` names exactly the balls in spec.json, no ball's y goes more than 2 px below `floor_y`, and every flight between bounces seen over 3 s (5+ samples) fits a parabola in time whose acceleration is `gravity_px_s2` within 10% (fit residual at most 4 px). 5. `bounce_restitution`: for each ball at least two consecutive flights (5+ samples each) are seen in 3 s, and each flight's top height above `floor_y` is the previous flight's top height times `restitution`² within 0.07. 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 free_fall bounce_restitution no_console_errors

Setup notes: batch30 case o07-bouncing-balls-restitution (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 246906065): 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 5 (0 failed). Single run.

Estimated cost List-price estimate; not actually billed.

Output

Metrics

Estimated cost
$0.13
Wall time
2m
Human step-ins
0
Turns
6
Model usage
ModelInput tokOutput tokCost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on76,2987,121$0.13

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 free_fall bounce_restitution 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": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 10, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "node -e '\nconst fs = require(\"fs\");\nconst html = fs.readFileSync(\"out/scene.html\", \"utf8\");\nconsole.log(\"Size:\", html.length, \"Has //:\", html.includes(\"//\"));\n\nconst spec = JSON.parse(fs.readFileSync(\"spec.json\", \"utf8\"));\nfunction computeBallState(ball, tSec) {\n  const g = spec.gravity_px_s2;\n  const h0 = ball.drop_height_px;\n  const floorY = spec.floor_y;\n  const e = ball.restitution;\n  if (tSec <= 0) return { name: ball.name, x: ball.x, y: floorY - h0, vy: 0 };\n  const t0 = Math.sqrt((2 * h0) / g);\n  if \u2026"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " rebound velocity by "}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "`restitution` on each bounce and bri"}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "nging balls "}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "to rest when rebound spe"}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ed drops bel"}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ow `5 px/s`.\n- **"}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "State Inspection**: Exposes `window.sceneState()` returning `{ balls: [{ name, x, y,"}}
{"event": "step_update", "step_update": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "step_index": 11, "state": "DONE", "step_type": "agent_response", "text_delta": " vy }, ...] }` at the exact moment of invocation while synchronizing the canvas rendering.\n", "duration_seconds": 7.588260092, "usage": {"input_tokens": 3251, "output_tokens": 320, "thinking_tokens": 17, "cache_read_tokens": 13259, "total_tokens": 3571}}}
{"event": "result", "result": {"conversation_id": "1e42bdf1-854a-4eff-b55e-5f1b3490b52b", "status": "SUCCESS", "response": "Created [out/scene.html](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o07/work/out/scene.html) implementing the bouncing balls scene defined in [spec.json](file:///home/bob/usecase-runs/b2930/out/agy/gemini-4-argon-medium/b30o07/work/spec.json):\n\n- **Stage & Metadata**: Renders a `640x400` `<canvas>` stage with `<title>Bouncing Balls 590</title>` in a self-contained HTML file with no external assets or URLs.\n- **Exact Analytical Physics**: Computes each ball's trajectory (`Red`, `Teal`, `Gold`) directly from `performance.now()` (with `t = 0` at `performance.now() === 0`) under `gravity_px_s2 = 1100` above `floor_y = 360`, scaling rebound velocity by `restitution` on each bounce and bringing balls to rest when rebound speed drops below `5 px/s`.\n- **State Inspection**: Exposes `window.sceneState()` returning `{ balls: [{ name, x, y, vy }, ...] }` at the exact moment of invocation while synchronizing the canvas rendering.\n", "duration_seconds": 91.614170726, "num_turns": 1, "usage": {"input_tokens": 24710, "output_tokens": 7121, "thinking_tokens": 2818, "cache_read_tokens": 51588, "total_tokens": 31831}}}

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