On Friday, Google launched API pricing for Gemini 2.5 Pro, an AI reasoning mannequin with industry-leading efficiency on a number of benchmarks measuring coding, reasoning, and math.
For prompts as much as 200,000 tokens, Gemini 2.5 Professional prices $1.25 per million enter tokens (roughly 750,000 phrases, longer than the complete “Lord of The Rings” sequence) and $10 per million output tokens. For prompts better than 200,000 tokens (which most of Google’s opponents don’t help), Gemini 2.5 Professional prices $2.50 per million enter tokens, and $15 per million output tokens.
That pricing makes Gemini 2.5 Professional dearer for builders than another AI mannequin at the moment supplied by Google, together with Gemini 2.0 Flash ($0.10/M enter tokens, $0.40/M output tokens). It additionally makes Gemini 2.5 Professional dearer than a number of different frontier AI fashions, comparable to OpenAI’s o3-mini ($1.10/M enter tokens, $4.40/M output tokens) and DeepSeek’s R1 ($0.55/M enter tokens, $2.19/M output tokens).
To be truthful, Gemini 2.5 Professional, which is out there without spending a dime with strict price limits, is available in cheaper than another extremely aggressive fashions, together with Anthropic’s Claude 3.7 Sonnet ($3/M enter tokens, $15/M output tokens) and OpenAI’s GPT-4.5 ($75/M enter tokens, $150/M output tokens). The tech {industry}’s preliminary response has been largely positive, with builders praising what they understand to be smart charges.
However broadly talking, there appears to be some upward stress on pricing for flagship fashions. The price of latest top-of-the-line releases from labs like Google, OpenAI, and Anthropic has been going up, not down. See, for instance, OpenAI’s lately launched o1-pro, which is the corporate’s costliest API providing but at $150/M enter tokens and $600/M output tokens.
It might be that prime demand and computing prices are driving the development. In keeping with Google CEO Sundar Pichai, Gemini 2.5 Professional is the corporate’s most in-demand AI mannequin amongst builders, resulting in an 80% increase in usage in Google’s AI Studio platform and the Gemini API this month alone.
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