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.
Paste your text, system prompt, or code snippet into the text area
The tool automatically detects whether your content is English prose, source code, mixed, or CJK text
Review the estimated token counts for each model in the comparison table
Compare input and output costs to find the most cost-effective model for your use case
Use the summary cards to see cost projections at scale (e.g., 1,000 API calls)
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.
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