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AI Token Estimator

Paste your prompt and instantly estimate token counts and API costs across Claude, GPT-4o, and Gemini. Runs entirely in your browser — your text never leaves your device.

Privacy-first: All token counting runs locally in JavaScript. Your prompt text is never transmitted to any server. Safe to use with confidential prompts.
Your Prompt or Text
Characters: 0
Words: 0
Lines: 0
Estimates are within ~5–10% of actual tokenizer counts
Cost Settings

Pricing disclaimer: Cost estimates use approximate published rates and may be outdated. Always verify current pricing on the provider's official pricing page before making budget decisions.

Claude Sonnet 4 by Anthropic
200K ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$3.00 / $15.00 per 1M tokens (in/out)
Claude Haiku 4 by Anthropic
200K ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$0.80 / $4.00 per 1M tokens (in/out)
GPT-4o by OpenAI
128K ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$2.50 / $10.00 per 1M tokens (in/out)
GPT-4o mini by OpenAI
128K ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$0.15 / $0.60 per 1M tokens (in/out)
Gemini 1.5 Pro by Google
1M ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$1.25 / $5.00 per 1M tokens (in/out)
Gemini 1.5 Flash by Google
1M ctx
Estimated tokens
Context window used
Input/1K req
Total/1K req
~$0.075 / $0.30 per 1M tokens (in/out)

How Token Estimation Works

Large language models process text as tokens, not characters or words. A token is roughly 3–4 characters of English text, a common word, or a punctuation mark. Models are billed per token consumed, so estimating tokens before making API calls helps you control costs and fit within context window limits.

This tool uses a BPE-style (Byte Pair Encoding) heuristic that estimates tokens from character and word boundaries. For typical English prose it stays within 5–10% of the actual tokenizer count. Code, special characters, and non-Latin scripts may have higher variance.

Context Window vs. Max Output

Each model has a maximum context window — the total tokens it can process in one request (input + output combined). If your prompt alone is large, you may have limited room left for the model's response. The progress bars above show what fraction of each model's context window your input text would consume.

Model Comparison

Model Context Input / 1M Output / 1M Best for
Claude Sonnet 4200K~$3.00~$15.00Complex tasks, coding, analysis
Claude Haiku 4200K~$0.80~$4.00Fast, affordable, high-volume
GPT-4o128K~$2.50~$10.00Multimodal, broad compatibility
GPT-4o mini128K~$0.15~$0.60Low-cost, high-throughput
Gemini 1.5 Pro1M~$1.25~$5.00Very long documents, RAG
Gemini 1.5 Flash1M~$0.075~$0.30Budget-friendly, large context

Prices are approximate and subject to change. Verify at the provider's official pricing page before making cost decisions.