LLM Token Cost Estimator

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

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Recursos Principais e Garantia de Privacidade

  • ✓ Execução 100% no Navegador: Seus dados nunca saem do seu dispositivo nem tocam servidores remotos.
  • ✓ Saída Instantânea em Tempo Real: Zero latência de rede, cálculo ao digitar e cópia rápida.
  • ✓ Gratuito e Ilimitado para Sempre: Sem cadastro, sem planos pagos e sem limites de uso.
  • ✓ Em Conformidade com Padrões: Construído estritamente segundo padrões web 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.

Especificações Técnicas e Arquitetura

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 para desenvolvedores: Counting tokens before calling expensive LLM APIs prevents unexpected bill spikes and truncated model responses.

Casos de Uso Comuns

  • 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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Ferramentas Conectadas e Próximos Passos

Utilitários recomendados frequentemente utilizados com LLM Token Cost Estimator & Model Pricing Comparison

Perguntas Frequentes

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.