Calculate token usage across major AI language models
Helps developers and AI users manage token limits for popular language models like GPT-4 and Claude 3. Works directly in your browser without sending data to servers. Essential for avoiding unexpected LLM errors and maintaining privacy.
Works with 25+ models from OpenAI, Anthropic, Meta, Mistral
No data leaves your device for maximum privacy
Instant token counts as you type or paste text
Web-based tool works on any modern browser
Yes, all calculations happen in your browser - no data is sent to servers.
Currently supports OpenAI, Anthropic, Meta, and Mistral models including GPT-4o, Claude 3.5, and Llama 3.
Uses official Transformers.js library matching each model's tokenization method.
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
Recent data shows that LLM Token Counter has 28.5K monthly visits (89.7% increase from the previous month), 41.0% bounce rate, and average 1.70 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 22% of total traffic. SEO performance is shown by 5 tracked keywords, with "token counter" being the top-performing keyword with 37.5K monthly searches. See below for more info.
Monthly Visits
28.5K
Pages per Visit
1.70
Bounce Rate
41.0%
Average Time on Site
14s
| SEO Keyword | Volume | CPC |
|---|---|---|
| token counter | 37.5K | $1.27 |
| token calculator llm | 830 | - |
| token counter llm | 2.6K | - |
| claude token counter | 1.3K | - |
| anthropic token counter | 660 | - |
| Source | Traffic Share |
|---|---|
| Direct | 28% |
| Search | 57% |
| Social | 6% |
| Referrals | 8% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 22% |
 | 9% |
 | 8% |
 | 7% |
 | 6% |
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