Gemini 3 Ultra
Google's most powerful model — frontier reasoning, native multimodal, 2M context window
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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
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Compared at your current token settings
About Gemini 3 Ultra
Gemini 3 Ultra is a premium large language model from google, priced at $10/1M input tokens and $30/1M output tokens. It is priced above the market average and best suited for frontier reasoning & multimodal. The 2M 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 Ultra is positioned for use cases where quality justifies the premium over cheaper alternatives.
Gemini 3 Ultra supports prompt caching at $2.5/1M — 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.