Token Counter — Estimate LLM Token Usage & Cost

Estimate how many tokens your text, prompts, or code will consume across popular LLM models. See side-by-side cost comparisons for GPT-4o, Claude, Gemini, and Llama to make informed decisions about model selection and budget planning.

Features

  • ✓Paste any text, prompt, or code and get instant token estimates
  • ✓Side-by-side comparison across 6 popular LLM models
  • ✓Automatic content type detection (English, code, mixed, CJK)
  • ✓Per-request cost breakdown for both input and output tokens
  • ✓Quick-fill examples for common use cases (API prompts, code, prose)
  • ✓At-a-glance summary of cheapest vs. most expensive model options

How to Use

1

Paste your text, system prompt, or code snippet into the text area

2

The tool automatically detects whether your content is English prose, source code, mixed, or CJK text

3

Review the estimated token counts for each model in the comparison table

4

Compare input and output costs to find the most cost-effective model for your use case

5

Use the summary cards to see cost projections at scale (e.g., 1,000 API calls)

Track Real Token Usage in Production

Estimates are a great starting point, but production workloads vary. Respan gives you exact token counts, cost breakdowns, and usage trends across every LLM call — so you can optimize spend with real data, not guesswork.

Try Respan free