OpenAI Chat Tokens vs gpt-tokenizer
Side-by-side — pricing, strengths, tradeoffs, and fit.
OpenAI Chat Tokens
Estimate tokens for OpenAI chat completions
gpt-tokenizer
Pure JavaScript BPE tokenizer for GPT models
At a glance
Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
◐ Growing·From $0
Overview
One-liner
One-liner
Estimate tokens for OpenAI chat completions
One-liner
Pure JavaScript BPE tokenizer for GPT models
Maturity
Maturity
DecliningMaturity
GrowingOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Developers integrating OpenAI chat completions into cost-sensitive applications
Teams needing precise control over API usage costs in production environments
Individuals learning about the intricacies of tokenization and its impact on API costs
✓ Best for
Developers building web applications requiring on-the-fly tokenization of text data using GPT models
Teams working on NLP projects who prefer a JavaScript solution for consistency across their tech stack
Not ideal for
✕ Not for
Projects that do not use or plan to use OpenAI's chat models
Applications where real-time token estimation is critical (as this tool provides an estimate, not exact counts)
✕ Not for
Projects that require heavy integration with non-JavaScript environments where a pure JS library would be cumbersome to use
Applications needing real-time tokenization in languages other than JavaScript, as this tool is tightly coupled with the language
Strengths
↑ Strengths
Estimates token usage for OpenAI chat completions
Helps manage costs by predicting API usage
Easy to integrate into existing projects
↑ Strengths
Pure JavaScript implementation for BPE tokenization
Supports GPT-2, GPT-3, and GPT-4 models
Encoder/Decoder functionalities included
Weaknesses
↓ Weaknesses
Limited language support beyond JavaScript
Complex setup for non-trivial use cases
Poor documentation for advanced features
Performance issues with large inputs
↓ Weaknesses
Limited language support
Performance issues with large datasets
Incomplete documentation and examples
Dependence on community-maintained TypeScript SDK