tokcount vs tiktoken — LLM token counter comparison
Both tools count LLM tokens, but they serve different audiences. tiktoken is OpenAI's official Python tokenizer library — precise, programmatic, and production-grade for OpenAI models. tokcount is a browser-based token counter with no install, covering 60+ models across OpenAI, Anthropic, Google, Meta, and Mistral.
tokcount (tools.voiddo.com)
- Zero install — runs entirely in your browser
- 60+ models: GPT-4o, Claude 3.5 Sonnet, Gemini 2.0 Flash, Llama 3, Mistral, and more
- Live character, word, sentence, and estimated cost display
- System + user prompt split view for chat-format prompts
- Context window progress bar with overflow warning
- Zero ads, zero tracking, no rate limits
- Works on any OS: Windows, Mac, Linux, mobile
tiktoken (OpenAI)
- 100% byte-exact for all OpenAI model encodings
- Python library — requires Python 3.9+ and pip install
- Supports cl100k_base, o200k_base, p50k_base, r50k_base encodings
- Ideal for production pipelines, chunking, and preprocessing
- Open source on GitHub (MIT license)
- Only covers OpenAI models — no Claude, Gemini, or Llama
- No UI; code-only interface
Feature comparison
| Feature | tokcount | tiktoken |
|---|---|---|
| Zero install | ✓ browser only | ✕ pip install required |
| OpenAI models (GPT-4o, GPT-4) | ✓ gpt-tokenizer port | ✓ official, byte-exact |
| Claude models | ✓ 60+ models | ✕ not supported |
| Gemini models | ✓ 2.0 Flash, 1.5 Pro, more | ✕ not supported |
| Llama / Mistral | ✓ Llama 3, Mistral 7B, more | ✕ not supported |
| Byte-exact accuracy | Exact for OpenAI; approx. for others | ✓ 100% for OpenAI encodings |
| Programmatic API | ✕ browser UI only | ✓ Python API |
| Context window progress bar | ✓ | ✕ |
| Estimated API cost display | ✓ | ✕ |
| Character / word / sentence count | ✓ | ✕ |
| System + user prompt split | ✓ | ✕ |
| Works offline | ✓ once loaded | ✓ after vocab download |
| Production pipeline use | ✕ | ✓ |
| Mobile / browser friendly | ✓ | ✕ |
| Open source | ✓ MIT | ✓ MIT |
| Price | Free | Free |
Bottom line
Use tokcount when you need a quick token count across any major LLM — no Python, no setup, works on any device. Great for prompt drafting, cost estimation, and sanity-checking context window usage across multiple providers.
Use tiktoken when you are building production Python pipelines that chunk or pre-process text for OpenAI models and need byte-exact accuracy at the tokenizer level.
Frequently asked questions
Is tiktoken more accurate than tokcount?
tiktoken is OpenAI's official tokenizer and is 100% byte-exact for GPT models using cl100k_base or o200k_base encodings. tokcount uses gpt-tokenizer (a JavaScript port) for OpenAI models, which produces identical results. For non-OpenAI models (Claude, Gemini, Llama) tokcount uses model-specific approximations that are accurate enough for context-window planning and cost estimation.
Can tiktoken count tokens for Claude or Gemini?
No. tiktoken only supports OpenAI encodings (cl100k_base, o200k_base, p50k_base, r50k_base). It has no support for Anthropic Claude, Google Gemini, Meta Llama, Mistral, or any non-OpenAI model. tokcount covers 60+ models across all major providers.
How do I install tiktoken?
pip install tiktoken — requires Python 3.9 or later. Typical usage: import tiktoken; enc = tiktoken.encoding_for_model("gpt-4o"); tokens = enc.encode("Hello world"); print(len(tokens)). No browser or UI is provided; you write Python code to call the library.When should I use tiktoken instead of tokcount?
Use tiktoken when you need programmatic, byte-exact token counts in a Python production system for OpenAI models — for example, when building text chunkers, retrieval pipelines, or preprocessing jobs that must stay within API context limits. Use tokcount for quick browser-based sanity checks, multi-provider comparisons, or when you want to avoid writing Python code.
more comparisons