LLM Token Cost Estimator

Compare input/output token API costs across OpenAI GPT-4o, Anthropic Claude 3.5, and Google Gemini models.

Condividi:

Caratteristiche Principali e Garanzia di Privacy

  • ✓ Esecuzione 100% nel Browser: I tuoi dati non lasciano mai il dispositivo né toccano server remoti.
  • ✓ Output Istantaneo in Tempo Reale: Zero latenza di rete, elaborazione immediata e copia veloce.
  • ✓ Gratuito e Illimitato per Sempre: Nessuna registrazione, nessun paywall e nessun limite giornaliero.
  • ✓ Conforme agli Standard: Costruito secondo gli standard web ufficiali RFC, ISO e W3C.

Compare AI model API costs per request and per month

Calculate exact API costs for GPT-4o, GPT-4o-mini, Claude 3.5 Sonnet, Haiku, Gemini 1.5 Pro, and DeepSeek models based on your token usage.

Specifiche Tecniche e Architettura

Execution Environment:
100% Client-Side Browser Sandbox
Data Privacy:
Zero Server Storage / No Tracking
Processing Speed:
Real-time local CPU execution
Cross-Platform:
Works on Windows, macOS, Linux, iOS & Android

Prompt Engineering & Token Estimation Engine

LLM utilities evaluate prompt lengths, structure system instructions, and calculate approximate token counts based on byte-pair encoding (BPE) algorithms used by OpenAI, Anthropic, and Google models. This helps prevent token budget overflows and optimizes monthly API expenditure.

1

Provide Input

Enter, paste, or upload your data into the input field above.

2

Configure & Process

The tool immediately processes your input in real time according to your chosen settings.

3

Copy or Save

Use the Copy button to copy the output to your clipboard, or download the result to your device.

Nota per sviluppatori: Counting tokens before calling expensive LLM APIs prevents unexpected bill spikes and truncated model responses.

Casi d'Uso Comuni

  • Budget monthly API costs for AI startups and LLM wrapper products
  • Compare token pricing between GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro
  • Optimize prompt lengths to reduce OpenAI API bills

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Domande frequenti

How is LLM API pricing calculated?
LLM providers charge per 1 Million (1M) input tokens and output tokens. Output tokens are typically 3x to 4x more expensive than input tokens.
How many words are in 1,000 tokens?
In English, 1,000 tokens equal approximately 750 words (or ~4,000 characters).
Which AI model is most cost-effective for high volume?
GPT-4o-mini, Gemini 1.5 Flash, and DeepSeek-V3 offer the lowest cost per 1M tokens for lightweight tasks.