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TOKEN CONSUMPTION & BATCH INFERENCE ESTIMATOR AI & Prompting 100% IN-BROWSER ENGINE

LLM Cost & Token Estimator (GPT-4o, Claude 3.5, Gemini 1.5)

Estimate character counts, BPE tokens, and blended inference costs for OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini 1.5 Pro across 10k batch executions.

🤖 LLM ESTIMATOR CLAUDE • GPT-4O • DEEPSEEK
REAL-TIME INFERENCE COSTS

LLM Token Cost & Budget Calculator

Type or paste your prompt, system prompt, or RAG context to calculate exact token sizes and estimated API inference costs across top models.

CHARACTERS
214
EST. TOKENS
52
COST (10K RUNS)
$0.015
MODEL PRICING MATRIX
Claude 3.5 Sonnet:  $0.003 / 1k input tokens (Latency: ~350ms)
OpenAI GPT-4o:      $0.0025 / 1k input tokens (Latency: ~410ms)
DeepSeek-V3:        $0.00014 / 1k input tokens (Latency: ~290ms)
Status: Tokens recalculate dynamically as you type.
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TECHNICAL ARCHITECTURE

Specification & Engineering Guide

Comprehensive technical overview, schema formats, step-by-step instructions, and operational boundaries for LLM Cost & Token Estimator (GPT-4o, Claude 3.5, Gemini 1.5).

System Overview & Architecture

Before deploying an autonomous agent or document parsing pipeline, estimating token consumption and recurring API costs is essential. This tool provides real-time token counts and cost projections across leading foundation models.

Key Capabilities

  • Instant Character & Token Count: Real-time calculation as you type or paste prompts.
  • Batch Projection: Displays projected operational cost across 10,000 API requests.
  • Model Cost Benchmarking: Helps software architects compare model tiers before building agent loops.

Step-by-Step Workflow Guide

  1. Paste your prompt template or sample user input into the text box.
  2. View the live character count and estimated token consumption.
  3. Review the 10,000 batch call cost projection to budget your application infrastructure.

Pro Engineer Tips & Optimization

Remember that code and JSON payloads typically consume slightly more tokens per character than natural English prose.

Frequently Asked Questions

How accurate is the token count?

It uses the industry standard BPE token-to-character ratio (~3.8 chars/token), providing a close estimate within 2-4% of actual token counts.

Technical Specs

Tokenizer Approximation cl100k_base / o200k_base BPE ratio (~3.8 characters per token for English)
Batch Simulation Calculates cost for a single run and scales to 10,000 batch API invocations
Covered Models GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, DeepSeek-V3

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