AI Cost Calculator Matrix

AI API pricing intelligence

AI API Cost Intelligence Hub

Estimate API spend from token counts, compare GPT and Claude pricing, and understand how input tokens, output tokens, cached context, and request volume affect production AI costs.

Providers tracked 2
Pricing rules 6
Best for RAG and agents

What This Hub Helps You Calculate

Per-request AI API cost

Estimate how much one model call costs by entering input tokens and output tokens. This is the fastest way to price a chat, agent step, RAG answer, or automation task.

Token pricing differences

Compare base input, cached input, and output token rates. Output-heavy workflows can become expensive even when the prompt is small.

Model cost tradeoffs

Use the comparison page to see when a cheaper model tier is enough and when a premium model may still be worth the higher per-token price.

How AI Token Pricing Works

Most AI APIs charge per million tokens. Input tokens are the instructions, retrieved context, tool results, and conversation history you send to the model. Output tokens are the text or structured response the model generates.

For RAG systems and agents, cost depends on more than one prompt. You need to estimate the average context size, the number of model calls per user task, and the percentage of repeated context that can use cached-input pricing.

Common Cost Drivers

  • Long retrieved documents in RAG prompts
  • Multi-step agent loops with repeated context
  • Large output formats such as code, reports, and JSON
  • Low cache hit rates on repeated system prompts
  • High request volume from automation workflows
GPT-5 Cost Calculator Estimate OpenAI GPT-5 family token costs per request. Claude 4 Cost Calculator Calculate Claude Sonnet 4 and Opus 4 API spend. AI Model Cost Comparison Compare GPT and Claude input, cached input, and output pricing.

FAQ

What is AI API pricing?

AI API pricing is the cost charged by model providers for processing input tokens, generating output tokens, and sometimes reading cached context or using special tools.

Why do input and output tokens have different prices?

Output tokens usually require more compute because the model must generate them step by step. That is why output token pricing is often higher than input token pricing.

How should developers estimate AI application cost?

Start with average input tokens, average output tokens, expected request volume, and cache hit rate. Then compare models by per-request and per-1,000-request cost.