Benchmark result
Qwen3.8-27B-oQ8e-mtp on Apple M5 Max — 35.4 tok/s
Measured with oMLX 0.31.3 on August 30, 2026.
LLM / Model
LLM Quality Assessment
The plan is structurally complete and follows a logical discovery-to-delivery flow, but it contains major issues: Step 2 relies on an invalid read_file target (a URL treated like a local file), the backup strategy is vague and partly conflicts with tool constraints, and the identification of the unnecessary tool is inconsistent. Task decomposition is decent, but tool choice and error handling are only moderately sound.
Polished and visually rich implementation, but it misses several core spec requirements: correct start state, exact collision behavior, win-state handling, and some required initialization details. Playability is decent, but the solution is not fully compliant with the prompt.
An evocative and character-faithful opening that nails the tell and atmosphere, but it stops before the required arc develops, leaving the trust-building and decision points unresolved.
Well-structured and reasonably thorough, with clear recommendations and useful task comparisons. However, the scaling characterization overstates certainty, the extrapolation is weakly supported, and some numerical/causal inferences exceed what the sparse data can justify.
GPU Acceleration
Performance Metrics
Context Information
Throughput
CPU & Memory
Operating System
Submission Details
8/30/2026, 11:11:17 AM
v0.4.46+97
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