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LLM Token Counter & Multi-Model Cost Estimator

Est. LLM Tokens
74
BPE Tokenizer Estimate
Word Count
37
Whitespace delimited
Total Characters
278
Including punctuation
Cost Comparison Across Frontier LLMs (Per 1,000 Runs)Pricing per 1M tokens
OpenAI GPT-4o
Context: 128,000 tokens (0.06% utilized)
$0.1850
per 1,000 calls
OpenAI GPT-4o mini
Context: 128,000 tokens (0.06% utilized)
$0.0111
per 1,000 calls
Claude 3.5 Sonnet
Context: 200,000 tokens (0.04% utilized)
$0.2220
per 1,000 calls
Gemini 1.5 Pro
Context: 1,000,000 tokens (0.01% utilized)
$0.0925
per 1,000 calls
Gemini 1.5 Flash
Context: 1,000,000 tokens (0.01% utilized)
$0.0055
per 1,000 calls
Llama 3.1 70B (Hosted)
Context: 128,000 tokens (0.06% utilized)
$0.0592
per 1,000 calls

LLM Token Counter & Multi-Model Cost Estimator

AI Powered
4.96•890K Users•100% Client-Side Privacy
Unlimited Free

Estimate tokens and API pricing across OpenAI GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Llama 3.1 for prompt budgets.

GPT-4o & Claude 3.5 pricingToken count approximationContext window percentageCost per 1k invocations

How to Use LLM Token Counter & Multi-Model Cost Estimator

Follow these simple steps to process your files securely in browser memory.

1Step 1 of 3

Paste Prompt Text or Dataset

Paste text into the editor. Tokens and characters are computed in real time.

Pro Tip: Code and structured JSON consume ~30% more tokens per character than English prose.
2Step 2 of 3

Compare Model Pricing

Inspect cost per 1K calls across OpenAI, Anthropic, Google Gemini, and Meta.

Pro Tip: Compare input vs output costs to budget monthly API limits accurately.
3Step 3 of 3

Trim Redundant Prompt Tokens

Eliminate conversational filler words to stay well inside strict context limits.

Pro Tip: Trimming repetitive rules saves 20-35% on enterprise LLM billing.

Who Is LLM Token Counter & Multi-Model Cost Estimator Built For?

Designed for professionals seeking fast, private, and unlimited client-side execution.

Primary Target Audience
🎯AI Application Developers & Prompt Engineers
Also Widely Used By
Product ManagersFinOps Cloud Analysts
Typical Real-World Use Cases
  • Estimating token count across GPT-4o, Claude 3.5, Gemini, Llama
  • Blended prompt input and completion cost modeling
  • Context window optimization

Multi-Model Cost Matrix

Side-by-side pricing for GPT-4o, Claude 3.5, Gemini, and Llama.

Subword & Character Metrics

Real-time token count, character density, and word count.

100% Prompt Privacy

Evaluate proprietary business context without external API leaks.

Frequently Asked Questions about LLM Token Counter & Multi-Model Cost Estimator

Tokens are sub-word units. 1,000 English words correspond to approximately 1,333 tokens.
Top Search Queries for LLM Token Counter & Multi-Model Cost Estimator:
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