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 55m 35sCost 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, 926 characters. Every result for this prompt
Using Blender's Python API only (a script run headless with blender -b -P), build a humanoid character with an armature (hips, spine, neck, head, arms with elbows and hands, legs with knees and feet) skinned to a simple stylised body mesh, and animate a seamless looping walk cycle of 32 frames at 24 fps. The walk must look human: knees and elbows bend one way only within realistic joint limits, feet plant with no sliding during contact, the pelvis bobs and the torso stays upright, and arms swing opposite to the legs. Add a three-point light and a camera. Render a 1280x720 PNG still of a mid-stride frame to render.png, render a turntable video to turntable.mp4 (the character walking in place while the camera orbits once around it, 1280x720, 24 fps, at least 4 seconds), save scene.blend, and export walk.glb with the armature and the walk animation (no cameras or lights). Write everything into the working directory.
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
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Download the full transcript OpenCode session export, 334 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/blender_humanoid_walk_cycle.md verbatim (Blender variant of humanoid_motion_cycle, 2026-09-30)
- plain OpenCode config copy (providers only; no ECC instructions/agents)
- W6: Blender 5.2.2 GUI on a private Xvfb display inside the sandbox (filesystem socket in the sandbox's own /tmp only, per-run cookie), software OpenGL (llvmpipe), render threads 2; working directory = the run's work dir
- opencode export written to a file (not piped)
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation audit: outside paths seen