Count tokens in text for GPT, Claude, Gemini, and open models like Llama, Gemma, and Qwen — or search any model on Hu...
LLM Token Counter
Calculates token counts for various large language models including GPT-4, Claude, and Llama, estimating API costs and optimizing prompts based on token limits. Helps developers ensure efficient model usage by providing accurate token count estimates and optimization tips, crucial for managing resources effectively in applications that utilize AI text generation.
Side by side
LLM Token Counter options compared
| Tool | Best for | Strengths | Limitations |
|---|---|---|---|
| Inventive HQ inventivehq.com | Quick token counts across many models |
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| DevBolt devbolt.dev | Private, offline token counting |
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Buyer's guide
How to choose a llm token counter
When picking a token counter, first decide if you need to count tokens for many different models or just the major ones like GPT-4, Claude, and Gemini. If you are optimizing prompts for a specific model and want cost estimates, choose a tool that shows context window usage and pricing per 1M tokens. If privacy is your top concern — you don't want any text sent to a server — pick a browser-based tool that processes everything locally. Otherwise, a wider model search feature is more useful for developers working with less common LLMs.
Questions
LLM Token Counter FAQ
- Can I count tokens for any LLM model?
- Yes, Inventive HQ lets you search any model on Hugging Face, while DevBolt supports 19 models from 6 providers including GPT-4o, Claude, Gemini, Llama, Mistral, and DeepSeek.
- Do I need to install anything to use these tools?
- No, both tools run in your browser. DevBolt emphasizes that everything processes locally, so your text never leaves your device.
- How accurate are the token counts?
- Token counts use BPE tokenization (cl100k_base) as the standard method, which is the same approach major models like GPT-4o and Claude use for their context windows.
- Can I estimate API costs with these tools?
- Yes, both tools provide cost estimates. DevBolt lists per-1M-token prices for multiple models, and Inventive HQ includes API cost estimation as part of its core features.
- Which tool should I use if I want to check a very long prompt?
- DevBolt shows context window usage as a percentage, which helps you see how much of the model's limit your prompt occupies. Inventive HQ also checks context window fit, but exact UI details are not available in the stored notes.

