Cuestionario vinculado a una guía · Medio Nivel

Cuestionario de precios de API de LLM y conteo de tokens

Pruebe su habilidad para estimar los costos de la API de LLM: tasas de tokens de entrada versus salida, conteo de tokens antes de una llamada y costos ocultos, como el historial de chat.

Rutas de guía relacionadasConteo de tokens y precios de API LLM
Pregunta 1 de 8

What is a common rule of thumb for English text and tokens?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. What is a common rule of thumb for English text and tokens?
    • One token equals one full sentence
    • One token is about four characters, or three-quarters of a word
    • One token equals exactly one word
    • One token is about 100 characters
  2. Why are output tokens usually priced higher than input tokens?
    • Output tokens are longer words
    • Providers pay authors for output text
    • Output is generated one token at a time, while input can be processed in parallel
    • Output tokens are stored permanently
  3. With made-up prices of $3 per million input tokens and $15 per million output tokens, what does a call with 6,000 input and 800 output tokens cost?
    • $0.03
    • $0.30
    • $0.018
    • $3.00
  4. Why do chatbot costs often grow as a conversation goes on?
    • Providers raise prices mid-conversation
    • Output tokens become more expensive
    • Models slow down over time
    • The whole conversation history is resent as input on every turn
  5. How are a reasoning model's internal thinking tokens typically billed?
    • They are free
    • As output tokens, even when not shown in full
    • As input tokens
    • As a flat monthly fee
  6. Which tool does Anthropic provide for counting tokens before a request?
    • The tiktoken library
    • A countTokens method on Gemini
    • A token-counting endpoint that accepts messages, system prompt and tools
    • A browser extension
  7. What do batch API endpoints typically offer?
    • Around half price in exchange for asynchronous, slower results
    • Free output tokens
    • Faster responses at double the price
    • Unlimited context windows
  8. Why is the lowest per-token price not a reliable guide to total API cost?
    • Tool definitions count as input
    • Actual usage fields should be logged
    • Non-English text can use more tokens
    • The model with the lowest per-token price is always cheapest per task