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Gemini 4 Argon (effort medium · thinking on) on Animate a fish tank with swimming fish and rising bubbles 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
$0.18
Wall time
3m
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate a fish tank with swimming fish and rising bubbles in one self-contained HTML file Make a small animated scene: a fish tank. 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): `{fish: [{x, y}, ...], bubbles: [{x, y}, ...]}`. Extra fields are fine. It must describe what is actually drawn. - Bubbles may restart at the bottom once they reach the top; keep each bubble at the same array index. - 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. `fish_swim`: `sceneState().fish` has exactly spec.json `fish` entries, every fish moves more than 2 px between samples 1.5 s apart, and every fish stays inside the stage. 5. `bubbles_rise`: `sceneState().bubbles` has at least `min_bubbles` entries and at least 60% of them move up (y decreases by more than 1 px) between samples 1.5 s apart. 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 fish_swim bubbles_rise no_console_errors

Setup notes: Use Case Scout batch28 case d01-aquarium-fish-and-bubbles (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 7 (0 failed). Single run.

Estimated cost List-price estimate; not actually billed.

Output

Metrics

Estimated cost
$0.18
Wall time
3m
Human step-ins
0
Turns
8
Model usage
ModelInput tokOutput tokCost
GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on119,71711,179$0.18

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 fish_swim bubbles_rise 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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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
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{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 1, "state": "DONE", "step_type": "agent_response", "duration_seconds": 8.162106832, "usage": {"input_tokens": 8451, "output_tokens": 65, "thinking_tokens": 11, "cache_read_tokens": 0, "total_tokens": 8516}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 2, "state": "ACTIVE", "step_type": "tool", "tool_name": "read_file", "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/spec.json"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 2, "state": "DONE", "step_type": "tool", "tool_name": "read_file", "duration_seconds": 0.381084188, "tool_info": {"name": "read_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/spec.json"}, "output": "8 lines, 117 bytes"}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 3, "state": "DONE", "step_type": "agent_response", "duration_seconds": 69.594192367, "usage": {"input_tokens": 2296, "output_tokens": 5388, "thinking_tokens": 2505, "cache_read_tokens": 6397, "total_tokens": 7684}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 4, "state": "ACTIVE", "step_type": "tool", "tool_name": "write_file", "tool_info": {"name": "write_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/out/scene.html"}}}}
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{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 5, "state": "DONE", "step_type": "agent_response", "duration_seconds": 20.681066761, "usage": {"input_tokens": 5470, "output_tokens": 161, "thinking_tokens": 40, "cache_read_tokens": 8694, "total_tokens": 5631}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 6, "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);\nconsole.log(\"Has http:\", /https?:\\/\\/|\\/\\//i.test(html.replace(/\\/\\/.*$/gm, \"\")));\n'"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 6, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.649790464, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "node -e '\nconst fs = require(\"fs\");\nconst html = fs.readFileSync(\"out/scene.html\", \"utf8\");\nconsole.log(\"Size:\", html.length);\nconsole.log(\"Has http:\", /https?:\\/\\/|\\/\\//i.test(html.replace(/\\/\\/.*$/gm, \"\")));\n'"}, "output": "Command exited with code 0.\n\nCommand output:\nSize: 6672\r\nHas http: false\r\n"}}}
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{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 8, "state": "DONE", "step_type": "tool", "tool_name": "edit_file", "duration_seconds": 0.884859519, "tool_info": {"name": "edit_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/out/scene.html"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 9, "state": "DONE", "step_type": "agent_response", "duration_seconds": 28.674908424, "usage": {"input_tokens": 3308, "output_tokens": 3085, "thinking_tokens": 18, "cache_read_tokens": 12378, "total_tokens": 6393}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 10, "state": "ACTIVE", "step_type": "tool", "tool_name": "edit_file", "tool_info": {"name": "edit_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/out/scene.html"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 10, "state": "DONE", "step_type": "tool", "tool_name": "edit_file", "duration_seconds": 2.12872971, "tool_info": {"name": "edit_file", "parameters": {"Path": "/home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/out/scene.html"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 11, "state": "DONE", "step_type": "agent_response", "duration_seconds": 5.601435371, "usage": {"input_tokens": 3216, "output_tokens": 163, "thinking_tokens": 37, "cache_read_tokens": 15687, "total_tokens": 3379}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 12, "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);\nconsole.log(\"Any double-slash:\", html.includes(\"//\"));\nconsole.log(\"Any http:\", /http/i.test(html));\n'"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 12, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.6811150339999998, "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);\nconsole.log(\"Any double-slash:\", html.includes(\"//\"));\nconsole.log(\"Any http:\", /http/i.test(html));\n'"}, "output": "Command exited with code 0.\n\nCommand output:\nSize: 6477\r\nAny double-slash: false\r\nAny http: false\r\n"}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 13, "state": "DONE", "step_type": "agent_response", "duration_seconds": 28.628312493, "usage": {"input_tokens": 2321, "output_tokens": 941, "thinking_tokens": 29, "cache_read_tokens": 16854, "total_tokens": 3262}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 14, "state": "ACTIVE", "step_type": "tool", "tool_name": "run_command", "tool_info": {"name": "run_command", "parameters": {"CommandLine": "node -e '\nconst fs = require(\"fs\");\nconst vm = require(\"vm\");\n\n/* Verify fish and bubble math across t = 0..10s */\nconst NUM_FISH = 4, NUM_BUBBLES = 12;\nconst fishConfigs = [\n  { cx: 350, cy: 130, rx: 220, ry: 55, omega: 0.95, phase: 0.0 },\n  { cx: 350, cy: 220, rx: 240, ry: 65, omega: -0.85, phase: 1.7 },\n  { cx: 340, cy: 290, rx: 210, ry: 50, omega: 1.05, phase: 3.1 },\n  { cx: 360, cy: 350, rx: 230, ry: 45, omega: -0.90, phase: 4.8 }\n];\nconst BUBBLE_BOTTOM = 435, BUBBLE_TOP = 15, BUBBLE_SPAN = 420, BUBBLE\u2026"}}}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 14, "state": "DONE", "step_type": "tool", "tool_name": "run_command", "duration_seconds": 1.408550309, "tool_info": {"name": "run_command", "parameters": {"CommandLine": "node -e '\nconst fs = require(\"fs\");\nconst vm = require(\"vm\");\n\n/* Verify fish and bubble math across t = 0..10s */\nconst NUM_FISH = 4, NUM_BUBBLES = 12;\nconst fishConfigs = [\n  { cx: 350, cy: 130, rx: 220, ry: 55, omega: 0.95, phase: 0.0 },\n  { cx: 350, cy: 220, rx: 240, ry: 65, omega: -0.85, phase: 1.7 },\n  { cx: 340, cy: 290, rx: 210, ry: 50, omega: 1.05, phase: 3.1 },\n  { cx: 360, cy: 350, rx: 230, ry: 45, omega: -0.90, phase: 4.8 }\n];\nconst BUBBLE_BOTTOM = 435, BUBBLE_TOP = 15, BUBBLE_SPAN = 420, BUBBLE\u2026"}, "output": "Command exited with code 0.\n\nCommand output:\nAll invariants verified across t=0..20s!\r\n"}}}
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{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "estAnimation"}}
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{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "ing animated light rays,"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " swaying sea"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "weed"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": ", 12 rising bubbles (`>= 8`), and 4 "}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "swimming fis"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "h (`fish: 4`).\n- **Scene"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " State API**: Exposes `w"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "indow.sceneState()` retu"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "rning `{ fish: [{x, y}, ...], bubbles: [{x, y}, ...] }` in stage pixel c"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "oordinates s"}}
{"event": "step_update", "step_update": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "step_index": 15, "state": "DONE", "step_type": "agent_response", "text_delta": "ynchronized with the rendered canvas.\n", "duration_seconds": 17.543860631, "usage": {"input_tokens": 3092, "output_tokens": 246, "thinking_tokens": 17, "cache_read_tokens": 17126, "total_tokens": 3338}}}
{"event": "result", "result": {"conversation_id": "98ddacae-1a45-45f7-bdc8-f83fbfb032f2", "status": "SUCCESS", "response": "Created [scene.html](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/out/scene.html) implementing the self-contained animated fish tank scene according to [spec.json](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d01/work/spec.json):\n\n- **Stage & Title**: `<title>Aquarium 438</title>` with a visible `700x450` `<canvas>` stage (`#stage`).\n- **Continuous Animation**: Driven via `requestAnimationFrame` (with timer fallback), rendering animated light rays, swaying seaweed, 12 rising bubbles (`>= 8`), and 4 swimming fish (`fish: 4`).\n- **Scene State API**: Exposes `window.sceneState()` returning `{ fish: [{x, y}, ...], bubbles: [{x, y}, ...] }` in stage pixel coordinates synchronized with the rendered canvas.\n", "duration_seconds": 200.107326699, "num_turns": 1, "usage": {"input_tokens": 30466, "output_tokens": 11179, "thinking_tokens": 2877, "cache_read_tokens": 89251, "total_tokens": 41645}}}

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