Token Lens Explorer
Understand how language models see your prompts. Analyze token usage, track costs, and debug context behavior.
What it does
Token Lens Explorer is an open-source tool that gives developers visibility into how large language models tokenize and process their inputs. It helps you understand token counts, estimate costs, analyze context window usage, and debug unexpected model behavior.
If you work with LLMs, whether building applications, writing complex prompts, or trying to optimize costs, Token Lens Explorer shows you what's actually happening under the hood.
Key features
- 01
Token Analysis
See exactly how text gets broken into tokens across different models. Understand tokenization differences between GPT, Claude, and other LLMs.
- 02
Cost Tracking
Estimate and track token costs across models and providers. Know what your prompts cost before you send them.
- 03
Context Debugging
Analyze how your prompts use the context window. Find where you're wasting tokens and where context limits affect output quality.
- 04
LLM Telemetry
Monitor token usage patterns over time. Understand how different prompting strategies affect token consumption.
Technology
Try Token Lens Explorer
It's open source. Check out the repo, try it out, or contribute.