29 September 2026
Qwen 3.8 Flash Next
Sushi 1.0.5 · Pi coding agent
A long-horizon browser FPS project. The production build passed and a 60-second gameplay bot reached wave three, exercising combat, damage, death and redeploy.
Local test machine: Apple M5 Pro · 64 GB unified memoryRun window 29 September — 18 October 202622 recorded runs
Workload · Agentic coding · wave-survival browser FPS · Revision 1
A one-shot coding challenge to build a playable, single-player wave-survival FPS for the browser. This page groups one cloud baseline with two local runs using different model and engine configurations — the most-repeated workload in the archive.
3 recorded attempts
29 September 2026
Sushi 1.0.5 · Pi coding agent
A long-horizon browser FPS project. The production build passed and a 60-second gameplay bot reached wave three, exercising combat, damage, death and redeploy.
29–30 September 2026
TensorFold 0.3.6.3 · Pi coding agent
A separate implementation from a verifier and drafter pairing. Recorded checks covered combat, wave progression, aiming self-tests and restart; the session wall time includes a long backend outage.
03 October 2026
OpenAI Codex · xhigh reasoning · one-shot
A one-shot build with a successful production build recorded. No independent gameplay acceptance score was retained with the turn metrics.
From the run records
Each attempt used its own engine, harness version and settings, and some sessions include waiting or outages. Hover a value for its exact definition, and read the run sheets before drawing conclusions. Cloud wall time includes provider queueing; local decode speed is per request on this machine.
Each attempt produces its own browser game build. The run records describe the checks available for that build, from production-build and runtime checks to short gameplay exercises. Project transcripts are not published.
How to read this comparison
Compare the generated builds and the checks recorded for each attempt. There is no normalised quality score, and the cloud task’s cumulative token totals and end-to-end rate include repeated context, reasoning, tool calls and waiting — they are not comparable with local per-request decode or prefill rates. The method page sets out which figures can and cannot be set against each other.