Gemini 4 Argon (effort medium · thinking on) on Draw a walking pixel-art character sprite animation in one self-contained HTML file
GGemini 4 Argonmedium · thinking on · Antigravity CLI 1.4.5 (agy -p) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.10
- Wall time
- 2m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Draw a walking pixel-art character sprite animation in one self-contained HTML file Make a small animated scene: a pixel-art walker. 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): `{frame: <int walk-cycle frame>, x: <number>, scale: <int>}`. Extra fields are fine. It must describe what is actually drawn. - Draw the sprite yourself as blocks of `scale` × `scale` screen pixels per sprite pixel. Advance the walk frame exactly `frame_rate_fps` times per second, `frames` frames per cycle. - 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. `walk_cycle`: over 3 s `frame` is an integer that visits every frame 0 to `frames`-1 and only ever steps to the next frame (wrapping to 0), and `x` changes (the character walks). 5. `pixel_art`: a visible canvas has CSS `image-rendering: pixelated` (or `crisp-edges`) or a 2d context with `imageSmoothingEnabled` false, and `sceneState().scale` equals spec.json `scale`. 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 walk_cycle pixel_art no_console_errors
Setup notes: Use Case Scout batch28 case d08-walking-pixel-art-sprite (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 5 (0 failed). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.10
- Wall time
- 2m
- Human step-ins
- 0
- Turns
- 6
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemini 4 Argongoogle/gemini-4-argoneffort medium · thinking on | 70,127 | 5,245 | $0.10 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Gemini 4 Argon (google/gemini-4-argon, effort medium · thinking on) via
Antigravity CLI 1.4.5 (agy -p), cloud. - It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change walk_cycle pixel_art no_console_errors
- 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).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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{"event": "step_update", "step_update": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "edium/d08/work/out"}}
{"event": "step_update", "step_update": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "/scene.html#L220-L227) r"}}
{"event": "step_update", "step_update": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": "eturning `{ frame, x, y, scale }` in stage pixel"}}
{"event": "step_update", "step_update": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "step_index": 11, "state": "ACTIVE", "step_type": "agent_response", "text_delta": " coordinates."}}
{"event": "step_update", "step_update": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "step_index": 11, "state": "DONE", "step_type": "agent_response", "text_delta": "\n", "duration_seconds": 7.30531228, "usage": {"input_tokens": 2339, "output_tokens": 320, "thinking_tokens": 13, "cache_read_tokens": 11720, "total_tokens": 2659}}}
{"event": "result", "result": {"conversation_id": "5b82e0a6-f52e-4c48-b7b5-4e867d14c514", "status": "SUCCESS", "response": "Created the self-contained pixel-art walker animation in [out/scene.html](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d08/work/out/scene.html) matching all parameters in [spec.json](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d08/work/spec.json):\n\n- **Stage & Title**: Renders on a `640`\u00d7`400` `<canvas>` with `<title>Pixel Walker 521</title>`, `image-rendering: pixelated` (`crisp-edges`), and `ctx.imageSmoothingEnabled = false`.\n- **Walk Cycle & Pixel Blocks**: Draws a 5-frame (`frames: 5`) walking sprite constructed out of `5`\u00d7`5` (`scale: 5`) pixel blocks, advancing frames at 4 FPS (`frame_rate_fps: 4`) while translating `x` across the stage.\n- **State Inspection**: Exposes [`window.sceneState()`](file:///home/bob/usecase-runs/agy-batch/out/gemini-4-argon-medium/d08/work/out/scene.html#L220-L227) returning `{ frame, x, y, scale }` in stage pixel coordinates.\n", "duration_seconds": 100.566214007, "num_turns": 1, "usage": {"input_tokens": 22259, "output_tokens": 5245, "thinking_tokens": 1773, "cache_read_tokens": 47868, "total_tokens": 27504}}}