AI Token Cost Calculator

Calculate the cost of using AI language models based on token usage, request volume, and model pricing.

* सर्व गणना अंदाजे आहेत.

महत्त्वाचे — निर्णय घेण्यापूर्वी वाचा

  • Output tokens typically cost 3–5x more than input tokens across most AI model providers.
  • Prompt caching can reduce input token costs by up to 90% for repeated context and system prompts.
  • Batch API processing is often 50% cheaper than real-time requests for non-urgent workloads.
  • Token count varies by language — non-English languages generally consume more tokens per word.
  • Model choice dramatically affects cost — smaller models can be 10–100x cheaper for simple tasks.
  • Streaming responses does not change the pricing — you pay the same whether streaming or not.
  • Context window size affects the maximum tokens per request and can impact per-request cost.
  • Fine-tuned models have different pricing structures compared to base models and may cost more per token.

यांकडे दुर्लक्ष केल्यास काय होईल?

  • Not monitoring token usage leads to budget overruns that can accumulate quickly at scale.
  • Verbose or poorly optimized prompts waste input tokens on every single request.
  • Not implementing caching for repeated contexts multiplies costs unnecessarily across requests.
  • Choosing the wrong model tier wastes money — using a premium model for simple tasks is inefficient.
  • Operating without rate limiting or budget caps can cause runaway costs from bugs or traffic spikes.

स्मार्ट टिप्स

  • Use smaller, cheaper models for simple classification and extraction tasks that don't need advanced reasoning.
  • Implement prompt caching for system prompts and repeated context to dramatically reduce input costs.
  • Batch requests when real-time responses aren't needed to take advantage of lower batch pricing.
  • Optimize prompts to be concise and specific, reducing unnecessary input tokens without losing quality.
  • Set usage alerts and hard rate limits to prevent unexpected cost spikes from runaway usage.
  • Consider open-source models for high-volume, simple tasks where API costs would be prohibitive.

वारंवार विचारले जाणारे प्रश्न