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Google pricing

Gemini 3.0 Pro Cost Calculator

Gemini 3.0 Pro features 2M token context, native audio + video understanding, and improved reasoning over 2.5 series.

Input
$1.50
per 1M tokens
Output
$12.00
per 1M tokens
Context window
2000K
tokens
Released
2026-03
Cutoff 2026-01
≈ Estimated tokenizer·$1.50 in·$12.00 out (per 1M)
Quick start with a use case
Total cost per call$0.007500
Input$0.001500
Output$0.006000
Cost comparison
Standard
$0.007500
With Caching
$0.006938
Save 7% ↓
With Batch
$0.003750
Save 50% ↓
Detailed pricing

Gemini 3.0 Pro pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$1.5000
Output$12.0000
Cached input$0.3750
Batch input$0.7500
Batch output$6.0000

Last verified 2026-05-01 · Google official pricing

How it compares

Gemini 3.0 Pro vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
Gemini 3.0 Pro
Google · this page
$0.007500
GPT-5 mini
OpenAI
$0.000600
DeepSeek V4
DeepSeek
$0.000900
Gemini 3.0 Flash
Google
$0.001250
o4-mini
OpenAI
$0.002700
Claude Haiku 4.5
Anthropic
$0.003500
Recommended use

When to choose Gemini 3.0 Pro

Gemini 3.0 Pro shines for general-purpose tasks, image and document understanding, long documents and large codebases, complex multi-step reasoning, and audio understanding and generation. Token counts are estimated within ~10-20% margin.

Context window of 2000K tokens handles entire codebases or book-length documents.
Prompt caching available — significant savings for repeated system prompts.
Batch API support for non-realtime workloads at ~50% discount.
Tool / function calling supported.
FAQ

Frequently asked questions

Gemini 3.0 Pro costs $1.50 per 1M input tokens and $12.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0075. Use the calculator above to estimate your specific use case.