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.
| Type | Price (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.
| Model | Per 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.
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