GLM-5.3 in OpenCode 1.18.32
skills off
Our own timeout ended the run before any output. Not a model failure.
Wall time 30m 10sCost not recorded: the run's usage was never recorded
Review
No verdict yet.
The full review
Stopped (our timeout). Stopped by our 30.0 min zero-progress stall watcher (no transcript growth and no file change for 30.0 min); not a model failure.
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.
The exact prompt
as run, 909 characters. Every result for this prompt
Build a single-page Three.js scene (one index.html file, no build step, three.js from a pinned CDN) with a rigged humanoid character (a procedural skeleton and simple body meshes are fine) that plays walk, run and jump cycles, with on-screen buttons or keys to switch between them and blend smoothly from one to the next. The motion must look human, not spider-like: respect realistic joint limits (knees and elbows bend one way only, no joint rotates past a human range), feet plant on the ground with no sliding while in contact, the pelvis bobs and the torso stays upright with natural counter-rotation of shoulders and hips, and arms swing opposite to the legs. Include a ground grid, an orbit camera and a toggle that shows the skeleton. It must run at 60 fps in a desktop browser and work with touch. Write everything into the working directory and finish with a short README.md describing the controls.
How it was made
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
Loading the timeline…
Download the full transcript OpenCode session export, 303 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: no token usage was recorded for this run, so there is nothing to estimate from.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 0 | $1.40 | $0 |
| Cache write | 0 | $1.40 | $0 |
| Cache read | 0 | $0.26 | $0 |
| Output | 0 | $4.40 | $0 |
| of which reasoning | 0 | billed as output |
- Total computed from tokens
- unknown
- Total reported by the harness
- none
No harness total and no complete list-price estimate. No usage recorded. The harness reports reasoning tokens separately from output; here output includes them (0 visible + 0 reasoning), and both bill at the output rate.
Prices: https://fireworks.ai/models/fireworks/glm-5p3, 2026-09-24.
Run notes
- frozen prompt (written): prompts/humanoid_motion_cycle.md verbatim (written 2026-09-30 from a public X post GPT-6 Sol human motion looks spider-like)
- plain OpenCode config copy (providers only; no ECC instructions/agents)
- opencode export written to a file (not piped)
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation audit: none