Gemini 3 Pro
Gemini 3's balanced model — strong reasoning at a fraction of Ultra cost
Quick calculator
Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
Similar models from Google
Compared at your current token settings
About Gemini 3 Pro
Gemini 3 Pro is a premium large language model from google, priced at $3.5/1M input tokens and $14/1M output tokens. It is priced above the market average and best suited for production reasoning at scale. The 1M context window makes it suitable for very long documents, large codebases, and book-length inputs.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, Gemini 3 Pro is positioned for use cases where quality justifies the premium over cheaper alternatives.
Gemini 3 Pro supports prompt caching at $0.875/1M — a 75% discount on repeated input tokens. For applications with a fixed system prompt or repeated document context (RAG, chatbots, agents), enabling caching is the single highest-leverage cost optimization available.