OpenAI & Claude Token Counter: GPT-5.5/5.6 & Claude 5 Cost
Free Multi-Model Token Calculator with Cost Estimation
Count tokens for OpenAI, Anthropic Claude, and open-source models like Llama 3.1, Qwen 2.5, Gemma 2, and DeepSeek. See exact token counts, estimated API costs, and compare how different models tokenize the same text. All tokenization runs in your browser — your text is never sent to any server.
How to Calculate Tokens and Estimate API Costs
- Select Target Model — Choose from OpenAI models (GPT-5.6, GPT-5.5, GPT-4o, o1), Claude models (Claude Fable 5, Claude Sonnet 5, Claude 3.5 Sonnet), or open-source weights (Llama 3.1, Qwen 2.5, DeepSeek).
- Enter Prompt Text — Type or paste your context block directly into the input workspace.
- Inspect Byte-Pair splits — The tool highlights character groupings in real-time, showing exactly where token splits occur.
- Review cost estimation telemetry — Monitor input and output pricing estimations based on real-world API provider metrics.
- Compare model footprints — Switch between models to see how different tokenizers impact overall token usage and budget.
SimplyUtils vs Other Token Counters: Feature Comparison
Looking for a robust alternative to the standard OpenAI Tokenizer, Tiktokenizer, or token-counter.dev? See how SimplyUtils delivers comprehensive multi-model analysis in a single tool:
Standard Tokenization Encoding Families
LLM providers utilize specialized compression algorithms to serialize text characters into integers. Review the dominant tokenization architectures below:
Target Personas & Concrete Use Cases
1. AI Application Developers & Integrators
Verify prompt lengths against strict LLM context limits (such as o1 or DeepSeek limits) beforehand. Bypassing context errors during batch agent executions prevents sudden system runtime failures.
2. Prompt Engineers & AI Content Designers
Optimize complex context structures or few-shot examples. Seeing exactly how target models partition system templates enables you to write highly compressed, token-efficient structures.
3. Financial Managers & Operations Leads
Calculate projected monthly operating costs. Knowing the exact token parameters of your datasets lets you build accurate ROI models and choose cost-effective API options.
4. NLP Researchers & Data Engineers
Compare tokenization characteristics across proprietary and open-source models side-by-side. Loading custom Hugging Face parameters helps audit custom tokenizer performance before hardware training.
Frequently Asked Questions
What is a token and how does it relate to words or characters?
Tokens are chunks of text that language models process. A token can be a single word, part of a word, or even punctuation. For standard English, 1 token is roughly equivalent to 4 characters or 0.75 words.
Why do different AI models return different token counts for the identical prompt?
Each model uses a unique tokenizer vocabulary. GPT-4o uses the optimized o200k_base vocabulary containing 200,000 parameters, whereas older models like GPT-4 rely on cl100k_base (100,000 parameters). Larger vocabularies compress text more efficiently, resulting in lower token counts.
Does this token counter send my inputs to OpenAI or external hosts?
No. All calculations are performed entirely locally inside your browser using standard JavaScript runtimes. No text, data, or API key parameters are ever sent to external networks, maintaining 100% privacy.
What is the difference between cl100k_base and o200k_base encodings?
o200k_base is a newer, larger encoding standard that compresses non-English scripts far better than cl100k_base. This yields lower costs and faster inference on newer models like GPT-4o and o1.
How can I calculate token metrics for local custom Hugging Face model architectures?
Simply input your target Hugging Face Model ID in the options bar. The tool will safely retrieve the repository's configuration parameters locally to calculate exact character groupings.
All tokenizer calculation is compiled client-side in browser volatile memory. Zero inputs or cost calculation details are tracked or sent to external servers.