Benchmark result
muse-glimmer:latest on AMD Radeon RX 7900 XTX — 34.8 tok/s
Measured with Ollama 0.32.9 on August 13, 2026.
LLM / Model
LLM Quality Assessment
The plan is logically structured, meets the four-step constraint, and clearly separates data gathering, normalization, and synthesis. Tool choices are mostly appropriate, with search_web and execute_code used effectively and send_email correctly excluded. It identifies a reasonable failure mode and backup strategy, though the mitigation could be more explicit about criteria for source comparison and metric alignment across heterogeneous benchmarks.
A solid single-file Breakout implementation that is playable and covers the core loop, scoring, lives, and mobile touch controls. However, it misses several spec details around brick positioning, precise collision requirements, and edge-case handling, so it is functional but not fully compliant.
A strong, character-faithful response with excellent mood, a convincing emotional tell, and a well-earned trust shift. The only minor weakness is that the ending could be even more concrete in its commitment, but overall it is highly effective.
Strong organization and generally correct arithmetic, with clear task-by-task comparisons and actionable recommendations. However, the scaling claims are somewhat overconfident given only four points, mixed model families, and no uncertainty estimates. The prediction and some task-scaling labels are plausible but not tightly justified, so interpretation is solid but not fully rigorous.
GPU Acceleration
Performance Metrics
Context Information
CPU & Memory
Operating System
Submission Details
8/13/2026, 5:40:31 PM
v0.4.36+97
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