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I tested 10 model/harness combinations on the same Three.js task

Hacker News · AIby alvins82 ()1 min read8 · 6 reads
AI summary · glm-5.3-flashSummaries by Vani AI

A developer benchmarked 10 model/harness combinations on a Three.js task; Qwen 3.8 27B on OpenCode scored 95.64% fastest at 8m48s.

The author ran an identical Three.js sci-fi hangar build prompt across 10 model/harness combinations and recorded score, tokens, durations, and tool errors. Qwen 3.8 27B x-high on OpenCode achieved 95.64% in 8m48s, the best fast result, while GLM 5.3 Flash Max on OpenCode scored highest at 96.89% in 20m28s. Other runs included GLM 5.3 Flash, Luna 5.6, SOL 5.6, and Astra 6.0 across Codex Open, OMP Open, OpenCode, DSH, and PTC harnesses, with scores ranging from 78.54% to 96.89%.

Key facts
  • Best score: GLM 5.3 Flash Max on OpenCode at 96.89% (20m28s)
  • Fastest strong result: Qwen 3.8 27B x-high on OpenCode, 95.64% in 8m48s
  • Worst result: GLM 5.3 Flash Max on OMP Open at 78.54%
  • Methodology tracks tokens, reasoning tokens, tool errors, and durations
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From the original article

1 min read at alvins82.github.io

I've been testing a simple prompt with different model and harness combinations to work out which one produces best results. I do this in /goal mode. Prompt: Build a single-page Three.

Hacker News · AI

By alvins82 · alvins82.github.io

Read the full article at Hacker News · AI

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.