The first wall you hit when running large language models yourself is rarely raw compute — it is the small stuff: how many tokens is this prompt? What should streaming output look like? How does this CPU actually score? Can I run a model locally without a discrete GPU? Those questions have no quick answer, and digging through docs is slow.
AI Developer Toolbox turns those "I need to check this again" tasks into ready-to-use tools that run entirely in your browser — no uploads, no sign-ups.
What you can do here
- Estimate tokens & API cost: count tokens before writing a prompt and estimate cost by model pricing, so the bill never surprises you.
- Understand hardware scores: PassMark multi-core and single-thread scores for 6,715 CPUs, plus AI compute ratings for 102 GPUs running local LLMs — compare before you buy.
- Handle everyday dev chores: JSON formatting, Base64, timestamps, regex, color conversion, Markdown preview and text diff — the little operations you do over and over.
Data & stance
CPU scores come from public PassMark rankings (August 2026 snapshot); GPU AI ratings are aggregated from gpubattle.com/ai measurements; everything in the articles section is first-hand. Treat numbers as reference and verify before buying.
FAQ
- Do you collect my input? No. Everything runs locally in your browser — nothing you type leaves your device.
- Do I need an account or payment? Neither. All tools are free, no login required.
- Are there companion articles? Yes. The articles section covers LLM benchmark roundups, GPU LLM tests and token explainers.