ThinkingCap is faster, but Unsloth wins the Tetris coding benchmark
Sn0opY_GER · reddit · 2026-07-27
A detailed benchmark compares ThinkingCap and Unsloth qwen3.6-27b-mtp@q6k on a Tetris-building task inside LM Studio.
Main findings
- ThinkingCap finished faster overall: 6m54s vs 8m55s.
- It used far fewer reasoning tokens: 4,205 vs 11,256.
- But it made more assistant/tool calls and more input-token churn.
Code-quality verdict
- Unsloth produced the materially better Tetris implementation.
- It handled the playable basics better: board size, 7-bag, ghost piece, score/level, hold, previews, and bug fixes.
- Remaining issues were narrower, such as incorrect CCW wall kicks and some state-handling bugs.
ThinkingCap problems
- Crashed on initial load because render() ran before board was initialized.
- Displayed a next-piece queue that was never actually consumed.
- Had spawn/hold collision and wall-kick issues that made the result less reliable.
Bottom line: ThinkingCap was faster and cheaper in reasoning tokens, but Unsloth won on actual task quality.
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