Quantitative decision calculators for software leaders and technology executives. Calculate LLM token burn, verify enterprise coding assistant returns, and audit open-source infrastructure.
Direct unit-cost comparison across Claude 3.5 Sonnet, GPT-4o, DeepSeek-V3, Gemini 1.5 Pro, and Llama 3.3. Simulates monthly token budgets, prompt caching savings, and context window economics.
Calculate the exact dollar return and annual engineering hours recovered by rolling out Cursor, GitHub Copilot, or Claude Code to teams of 5 to 500+ developers.
Probabilistic exposure timeline mapping engineering, product, and operations roles against autonomous LLM reasoning agents, code generation, and synthetic workflows.
Generate executive justification memos, risk mitigation sign-offs, and compliance audit summaries for deploying commercial LLMs within regulated enterprise architectures.
In-depth operational audits across 46 essential developer libraries and AI frameworks. Includes real-time GitHub velocity, maintainer activity scores, licensing risk alerts, and benchmarked alternatives for production deployments.
Measured Memory Bandwidth, Token Throughput (tok/s), and Procurement Links
| Model / Configuration | Key Specifications | Measured Benchmark / Value | Ref. Price | Direct Store / Inventory |
|---|---|---|---|---|
| Apple Mac Studio (M3 Ultra / 192GB Unified Memory) | 800 GB/s Memory Bandwidth · Runs 70B-128B Q4 Locally | 26.4 tok/s on 70B Q4 · 95W Load Power | ¥698,800~ | |
| NVIDIA RTX 5090 (32GB GDDR7) AI Workstation | 1,792 GB/s GDDR7 · 5th-Gen Tensor FP4/FP8 Inference | 78.2 tok/s on 32B Q4 · 575W TDP | ¥548,000~ | |
| Plaud Note AI & ScanSnap iX1600 Enterprise Kit | Hardware Voice Transcription + 40ppm Duplex AI-OCR | Saves 22 hrs/mo in engineering & ops docs | ¥27,500~ |