What AI models have token calculators available?

We provide token calculators for 75+ AI models including OpenAI models such as GPT-5.4, GPT-5.4 mini, GPT-5.4 nano, GPT-4.1, and GPT-4o; Anthropic Claude models; Google Gemini models; xAI Grok models; DeepSeek; Qwen; and other major production LLMs. Each calculator provides accurate token counting and real-time cost estimates.

How do I compare pricing between different AI models?

Use our model comparison tools to compare pricing side-by-side. Each calculator page shows input and output pricing per 1M tokens, allowing you to directly compare costs. You can also use our main Token Calculator tool to test the same prompt across multiple models and see cost differences in real-time across 2775+ head-to-head comparison paths.

Are these token calculators accurate?

Yes, our token calculators use official tokenizers from each provider. For OpenAI models, we use tiktoken with the exact encoding (cl100k_base for GPT-4, p50k_base for GPT-3.5). For Claude models, we use Anthropic's tokenizer. For other models, we use the official tokenization libraries. This ensures token counts match what you'll see in actual API usage, making cost estimates accurate.

What is the difference between input and output token pricing?

AI models typically charge different rates for input tokens (your prompt) and output tokens (the model's response). Output tokens are usually 2-4x more expensive than input tokens because generating text is computationally more intensive than processing it. For example, GPT-4o charges $2.50/1M for input but $10/1M for output. Understanding this difference is crucial for cost optimization - you can reduce costs by using concise prompts and limiting response length.

Can I calculate costs for batch API requests?

Yes, most of our calculators support batch cost estimation. You can specify the number of API calls per day or month to calculate total costs. Some providers offer discounted batch API pricing (e.g., OpenAI Batch API is 50% cheaper than real-time API). Our Token Calculator tool allows you to input daily request volume and see monthly cost projections across multiple models.

Which AI model is the most cost-effective?

Cost-effectiveness depends on your use case. For general tasks, GPT-3.5 Turbo ($0.50/1M input) and Claude 3 Haiku ($0.25/1M input) offer the best value. For high-quality responses, GPT-4o ($2.50/1M input) provides good balance of quality and cost. For long context windows, Gemini 1.5 Pro offers 1M token context at competitive pricing. For cost-sensitive applications, open-source models via Groq or Together AI can be 5-10x cheaper. Use our comparison tools to find the best model for your specific requirements.

Do you support caching and prompt caching pricing?

Yes, our Token Calculator supports prompt caching for models that offer it. Claude models offer prompt caching where cached input tokens cost only 10% of regular input pricing ($0.30/1M vs $3.00/1M for Claude 3.5 Sonnet). This can dramatically reduce costs for applications that reuse the same context across multiple requests. Our calculator lets you specify what percentage of your prompt will be cached to see accurate cost estimates.

How often are pricing updates reflected in the calculators?

We update our calculator pricing database regularly, typically within 24-48 hours of official provider announcements. AI model pricing changes frequently as providers compete and optimize infrastructure. We monitor OpenAI, Anthropic, Google, xAI, and other major providers for pricing updates. Each calculator page shows a "Last Updated" timestamp so you know when pricing data was last verified. For the most critical cost estimations, we recommend checking provider websites directly.

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