LLMSlim Open Benchmarks
Transparent, reproducible benchmark evaluations measuring token volume reduction, execution latency (Mean ± StdDev), projected API billing costs, instruction fidelity, and entity retention.
Measured local CPU execution overhead per prompt (N=100 runs per sample).
Imperative constraint retention via Priority Tier 4 hard locking.
Measured reduction in prompt tokens submitted to downstream APIs.
Open & Reproducible Benchmark Suites (6 Experimental Runs)
LLMSlim vs. Manual Prompt Editing
Automated Sentence Centrality vs. Manual Human Rewriting of Context Prompts
LLMSlim vs. Provider Prompt Caching
Compounding Savings: Combining In-Context Compression with API Prompt Caching
LLMSlim vs. Native Long Context Window
Prefill Latency and Token Overhead Analysis on Large Context Prompts
LLMSlim vs. Native Claude 3.5 Sonnet Context
Needle Recall and Structural XML Tag Preservation Analysis
LLMSlim vs. Native Gemini 2.5 Pro 1M Context
Managing Megabyte-Scale Document Contexts in Multimodal Pipelines
LLMSlim Performance Across Dynamic Compression Ratios
Empirical Sweeps Across 20%, 40%, 50%, 60%, and 70% Token Reduction Targets