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Qwen3.8 27B in a raw API call

raw API baseline

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DNF

The model did not finish, so there is no output.

DNFGarden Automation Tutorialdefault effortRaw baseline

Wall time 45 sCost not recorded: the run's token counts were never reported, so there is no estimate

Review

No verdict yet.

The full review

DNF. hit the 64000 output-token cap before finishing (HTML never closed (no </html>))

Scores

Not scored: only runs that finished on their own are scored.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

  • Scrubbed run transcriptthreejs_garden_automation_tutorial__raw-api__qwen3.8-27b-transcript.json · 12 KB · transcript

The exact prompt

as run, 2,244 characters. Every result for this prompt

Build a Three.js scene: An animated, step-by-step 3D explainer titled "Automating Your Raised Garden Beds". A small backyard with two or three wooden raised beds of soil sits on a lawn beside a house wall with an outdoor tap. The tutorial plays through clear steps, each with a short on-screen caption (step number, title and one or two sentences) and its own automatic camera move to frame what is being explained: 1) the water source: the outdoor tap with a backflow preventer and a pressure regulator; 2) the timer/controller mounted by the tap, with a small display; 3) the main supply line running to the beds; 4) drip lines laid along each bed, with animated water droplets dripping from the emitters; 5) soil moisture sensors pushed into the soil, showing a live moisture reading that rises as the drip runs; 6) a small solar panel on a stake that powers the controller, with a subtle energy-flow animation; 7) the finished system running on its own over a day-night cycle while the plants (lettuce, tomatoes, herbs) visibly grow from seedlings to full size. Each new component animates into place (drops in, slides or unrolls) when its step begins, and highlighted parts glow gently. Controls: Play/Pause, Previous and Next step buttons, and a row of step dots showing progress; it auto-advances when playing. OrbitControls let the viewer look around, and the tour camera resumes on the next step. Everything is built in code from Three.js geometry, materials and shaders; no external models, textures or fonts. The scene must visibly animate from the moment it loads and run in a browser with software WebGL (no GPU). Deliver ONE self-contained HTML file; load Three.js only through an import map from https://cdn.jsdelivr.net/npm/three@0.170.0/build/three.module.js (addons from https://cdn.jsdelivr.net/npm/three@0.170.0/examples/jsm/), with no other external requests (no image, texture, model, font or audio files): build every shape and texture in code. It must work when opened directly from disk in a current desktop or mobile browser, fit the window responsively, and run without console errors. Output ONLY the complete HTML file, starting with <!DOCTYPE html> and ending with </html>, with no explanation or markdown fences.

How it was made

Wall time 45 s

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full machine-format transcript is published as a scrubbed download.

Show all 2 steps

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Download the full transcript raw API response, 12 KB. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

No cost figure: the run's tokens were never reported, so there is nothing to estimate from.

Tokens by typeTokens$ per 1MCost
Input (uncached)550n/an/a
Cache write0n/an/a
Cache read0n/an/a
Output40,960n/an/a
Total computed from tokens
unknown
Total reported by the harness
none

Run notes

raw one-shot (one call, no tools, no self-review)effort default