How AI API pricing actually works in 2026
Most AI providers charge by the token, with separate prices for input (your prompt) and output (the response). Output tokens almost always cost more than input — usually 3-5× more. So a chatbot with long replies costs much more per request than a classifier with one-word answers.
This calculator multiplies your average input and output tokens by per-million-token rates from each provider, then projects your monthly bill across 30+ commonly-used models. Prices are checked weekly against each provider's official documentation.
The 5 cheapest production-ready models in April 2026
- DeepSeek V3.2 — among the cheapest "frontier-class" models, often 95% cheaper than GPT-5 for similar quality on reasoning tasks. Limited multimodal support.
- Gemini 2.5 Flash — extremely cheap for high-volume work, fast, multimodal. Best for classification, extraction, simple Q&A.
- Claude 4.5 Haiku — Anthropic's lightweight model. Punches above its price tier for code and structured output.
- GPT-5 Mini — OpenAI's cheap tier. Strong general performance.
- Llama 4.0 70B (via Together AI / Groq) — open weight, hosted cheaply. Very fast on Groq.
The 3 mistakes that double most teams' AI bills
- Using flagship models for tasks that don't need them. Most "agentic" workloads can be 80% smaller models with one fallback to the flagship. Check your traces — most queries don't need GPT-5 reasoning.
- Not caching repeated context. If your system prompt is 4,000 tokens and you call 1,000 times a day, that's 4M tokens/day on system prompt alone. Anthropic, OpenAI, and Google all support prompt caching at 25-90% discount.
- Not setting max_tokens. Without an explicit cap, models generate up to their full output limit when the task only needed 50 tokens. Set tight max_tokens per use case.
Provider-routing as a cost strategy
Tools like OpenRouter and Vercel AI Gateway give you one API key and access to 100+ models, with automatic price-based routing. You write code against one interface; behind the scenes, the cheapest available model handles each request. This is becoming standard practice for serious AI products in 2026.
What this calculator doesn't include (yet)
- Prompt caching discounts — assumes uncached. Real bill is often 30-70% lower if you cache.
- Batch API discounts — most providers offer 50% off for non-urgent batched work.
- Self-hosted inference — running open weights on your own GPUs has different cost dynamics (compute + ops, not per-token).
- Image / audio / video generation — those are priced by megapixel, second, or call, not by token.
FAQ
How accurate are these prices? Updated weekly from each provider's pricing page. Most prices haven't changed in months; the volatile ones (DeepSeek, Mistral) we re-check more often.
Why don't you list every model? We list the production-ready ones most people actually use. Adding every fine-tuned variant would make the table unusable.
Can I export the comparison? Click any column header to sort. We're adding CSV export soon.