GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Animate balls dropped onto a floor that bounce with real gravity and restitution in one self-contained HTML file
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.03
- Wall time
- 38s
- 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 ChatGPT subscription, not billed).
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 were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `MEDIA_DIR=<dir> python3 score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Autonomous case (seed 246906065): no stand-in user; any ask/ file counts as an intervention and blocks a pass. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 5 (0 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.03
- Wall time
- 38s
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on | 83,797 | 1,312 | $0.03 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via
Codex CLI 0.163.0 (codex exec --json), cloud. - 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
- 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
{"type": "thread.started", "thread_id": "01a16837-b7ed-7761-858b-435bc3874b5e"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read `spec.json` and build a self-contained canvas scene with gravity and bounce timing calculated from elapsed time.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'spec.json' -g 'AGENTS.md'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'spec.json' -g 'AGENTS.md'\"", "aggregated_output": "/home/bob/usecase-runs/b2930/out/codex/gpt-6.1-sol/b30o07/work\nspec.json\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat spec.json'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat spec.json'", "aggregated_output": "{\n \"title\": \"Bouncing Balls 590\",\n \"width\": 640,\n \"height\": 400,\n \"file\": \"out/scene.html\",\n \"gravity_px_s2\": 1100,\n \"floor_y\": 360,\n \"balls\": [\n {\n \"name\": \"Red\",\n \"x\": 160,\n \"drop_height_px\": 220,\n \"restitution\": 0.85\n },\n {\n \"name\": \"Teal\",\n \"x\": 320,\n \"drop_height_px\": 280,\n \"restitution\": 0.8\n },\n {\n \"name\": \"Gold\",\n \"x\": 480,\n \"drop_height_px\": 250,\n \"restitution\": 0.9\n }\n ]\n}", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\npython3 - <<'PY'\nimport json\nfrom pathlib import Path\nspec=json.loads(Path('spec.json').read_text())\nhtml='''<\"'!doctype html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>__TITLE__</title>\n<style>\nhtml,body{margin:0;background:#edf1f6}canvas{display:block;width:640px;height:400px;background:#fff}\n</style>\n</head>\n<body>\n<canvas id=\"stage\" width=\"640\" height=\"400\" aria-label=\"Bouncing balls\"></canvas>\n<script>\n'\"'use strict';\nconst spec=__SPEC__;\nconst canvas=document.getElementById('stage');\nconst ctx=canvas.getContext('2d');\ncanvas.width=spec.width;canvas.height=spec.height;\ncanvas.style.width=spec.width+'px';canvas.style.height=spec.height+'px';\nconst colors=['#df404a','#159c98','#dcaa16'];\n// All flight times are measured from the navigation performance time origin.\nfunction ballAt(ball,seconds){\n const g=spec.gravity_px_s2, floor=spec.floor_y;\n const firstImpact=Math.sqrt(2*ball.drop_height_px/g);\n if(seconds<firstImpact){\n return {name:ball.name,x:ball.x,y:floor-ball.drop_height_px+0.5*g*seconds*seconds,vy:g*seconds};\n }\n let t=seconds-firstImpact;\n let speed=g*firstImpact*ball.restitution;\n while(speed>=5){\n const duration=2*speed/g;\n if(t<duration){\n return {name:ball.name,x:ball.x,y:Math.min(floor,floor-speed*t+0.5*g*t*t),vy:-speed+g*t};\n }\n t-=duration;\n speed*=ball.restitution;\n }\n return {name:ball.name,x:ball.x,y:floor,vy:0};\n}\nfunction render(now){\n const balls=spec.balls.map(ball=>ballAt(ball,Math.max(0,now/1000)));\n ctx.clearRect(0,0,spec.width,spec.height);\n ctx.fillStyle='#e1e6ef';ctx.fillRect(0,spec.floor_y,spec.width,spec.height-spec.floor_y);\n ctx.strokeStyle='#8a98ab';ctx.lineWidth=2;\n ctx.beginPath();ctx.moveTo(0,spec.floor_y);ctx.lineTo(spec.width,spec.floor_y);ctx.stroke();\n balls.forEach((ball,i)=>{\n ctx.beginPath();ctx.arc(ball.x,ball.y-16,16,0,Math.PI*2);\n ctx.fillStyle=colors[i%colors.length];ctx.fill();\n });\n return {balls};\n}\nwindow.sceneState=()=>render(performance.now());\nfunction frame(){render(performance.now());requestAnimationFrame(frame);}\nframe();\n</script>\n</body>\n</html>\n'''\nimport html as escape\nhtml=html.replace('__TITLE__',escape.escape(spec['title'])).replace('__SPEC__',json.dumps(spec))\nPath('out/scene.html').write_text(html)\nprint('Created out/scene.html:',Path('out/scene.html').stat().st_size,'bytes')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\npython3 - <<'PY'\nimport json\nfrom pathlib import Path\nspec=json.loads(Path('spec.json').read_text())\nhtml='''<\"'!doctype html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>__TITLE__</title>\n<style>\nhtml,body{margin:0;background:#edf1f6}canvas{display:block;width:640px;height:400px;background:#fff}\n</style>\n</head>\n<body>\n<canvas id=\"stage\" width=\"640\" height=\"400\" aria-label=\"Bouncing balls\"></canvas>\n<script>\n'\"'use strict';\nconst spec=__SPEC__;\nconst canvas=document.getElementById('stage');\nconst ctx=canvas.getContext('2d');\ncanvas.width=spec.width;canvas.height=spec.height;\ncanvas.style.width=spec.width+'px';canvas.style.height=spec.height+'px';\nconst colors=['#df404a','#159c98','#dcaa16'];\n// All flight times are measured from the navigation performance time origin.\nfunction ballAt(ball,seconds){\n const g=spec.gravity_px_s2, floor=spec.floor_y;\n const firstImpact=Math.sqrt(2*ball.drop_height_px/g);\n if(seconds<firstImpact){\n return {name:ball.name,x:ball.x,y:floor-ball.drop_height_px+0.5*g*seconds*seconds,vy:g*seconds};\n }\n let t=seconds-firstImpact;\n let speed=g*firstImpact*ball.restitution;\n while(speed>=5){\n const duration=2*speed/g;\n if(t<duration){\n return {name:ball.name,x:ball.x,y:Math.min(floor,floor-speed*t+0.5*g*t*t),vy:-speed+g*t};\n }\n t-=duration;\n speed*=ball.restitution;\n }\n return {name:ball.name,x:ball.x,y:floor,vy:0};\n}\nfunction render(now){\n const balls=spec.balls.map(ball=>ballAt(ball,Math.max(0,now/1000)));\n ctx.clearRect(0,0,spec.width,spec.height);\n ctx.fillStyle='#e1e6ef';ctx.fillRect(0,spec.floor_y,spec.width,spec.height-spec.floor_y);\n ctx.strokeStyle='#8a98ab';ctx.lineWidth=2;\n ctx.beginPath();ctx.moveTo(0,spec.floor_y);ctx.lineTo(spec.width,spec.floor_y);ctx.stroke();\n balls.forEach((ball,i)=>{\n ctx.beginPath();ctx.arc(ball.x,ball.y-16,16,0,Math.PI*2);\n ctx.fillStyle=colors[i%colors.length];ctx.fill();\n });\n return {balls};\n}\nwindow.sceneState=()=>render(performance.now());\nfunction frame(){render(performance.now());requestAnimationFrame(frame);}\nframe();\n</script>\n</body>\n</html>\n'''\nimport html as escape\nhtml=html.replace('__TITLE__',escape.escape(spec['title'])).replace('__SPEC__',json.dumps(spec))\nPath('out/scene.html').write_text(html)\nprint('Created out/scene.html:',Path('out/scene.html').stat().st_size,'bytes')\nPY\"", "aggregated_output": "Created out/scene.html: 2372 bytes\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"node -e \\\"try { console.log(require.resolve('playwright')) } catch(e) { console.log('Playwright unavailable') }\\\"\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"node -e \\\"try { console.log(require.resolve('playwright')) } catch(e) { console.log('Playwright unavailable') }\\\"\"", "aggregated_output": "Playwright unavailable\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"node <<'JS'\nconst fs=require('fs'),vm=require('vm');\nconst html=fs.readFileSync('out/scene.html','utf8');\nconst script=html.match(/<script>([\\\\s\\\\S]*?)<\\\\/script>/)[1];\nlet now=0;\nconst ctx=new Proxy({}, {get:()=>()=>{}});\nconst sandbox={document:{getElementById:()=>({style:{},getContext:()=>ctx})},window:{},performance:{now:()=>now},requestAnimationFrame:()=>{}};\nvm.createContext(sandbox);vm.runInContext(script,sandbox);\nfor(now=0;now<=3000;now+=10){\n const state=sandbox.window.sceneState();\n if(state.balls.length\"'!==3 || state.balls.some(b=>!Number.isFinite(b.y)||b.y>360))throw Error('\"'Invalid state');\n}\nconsole.log('Script runs; all 301 sampled states are finite and above the floor.');\nif(/https?:|src=|href=/.test(html))throw Error('External reference');\nconsole.log('No external resource references.');\nJS\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"node <<'JS'\nconst fs=require('fs'),vm=require('vm');\nconst html=fs.readFileSync('out/scene.html','utf8');\nconst script=html.match(/<script>([\\\\s\\\\S]*?)<\\\\/script>/)[1];\nlet now=0;\nconst ctx=new Proxy({}, {get:()=>()=>{}});\nconst sandbox={document:{getElementById:()=>({style:{},getContext:()=>ctx})},window:{},performance:{now:()=>now},requestAnimationFrame:()=>{}};\nvm.createContext(sandbox);vm.runInContext(script,sandbox);\nfor(now=0;now<=3000;now+=10){\n const state=sandbox.window.sceneState();\n if(state.balls.length\"'!==3 || state.balls.some(b=>!Number.isFinite(b.y)||b.y>360))throw Error('\"'Invalid state');\n}\nconsole.log('Script runs; all 301 sampled states are finite and above the floor.');\nif(/https?:|src=|href=/.test(html))throw Error('External reference');\nconsole.log('No external resource references.');\nJS\"", "aggregated_output": "Script runs; all 301 sampled states are finite and above the floor.\nNo external resource references.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "Created [out/scene.html](out/scene.html) with continuous animation, gravity, restitution, and `window.sceneState()`.\n\nVerified 301 sampled states stay above the floor. No external resources. Browser screenshot testing was unavailable."}}
{"type": "turn.completed", "usage": {"input_tokens": 83797, "cached_input_tokens": 77696, "cache_write_input_tokens": 0, "output_tokens": 1312, "reasoning_output_tokens": 38}}