AI Model Pricing Comparison 2026

AI model pricing is based on tokens, which are the fundamental units of text that language models process. One token is roughly 3/4 of an English word, so 1 million tokens equals approximately 750,000 words or about 1,500 pages of text.

Most providers charge separately for input tokens (the text you send to the model) and output tokens (the text the model generates). Output tokens typically cost 2-4x more than input tokens because generating new text requires more computational work than reading existing text. Each output token must be produced sequentially through a full forward pass of the neural network.

To estimate your monthly cost, multiply your average daily requests by 30, then by your average tokens per request. For example, 100 requests per day at 2,000 tokens each equals 6 million tokens per month. At $3/1M tokens, that would be $18/month. Some providers also offer cached token pricing at a discount for repeated prompts, and batch processing at lower rates for non-real-time workloads.

Free models are a great starting point for experimentation and low-volume use cases. As your needs grow, budget and mid-range models offer an excellent balance of quality and cost. Premium and enterprise models deliver the highest benchmark scores for tasks demanding maximum accuracy, like complex coding or research analysis.