Nano Banana Pro (Gemini 3 Pro Image)
gemini-3-pro-imageGoogle's state-of-the-art image generation and editing model. Output price is per 1M image tokens. Built by Google.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$12
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
33K
tokens
Input formats
Output formats
Nano Banana Pro (Gemini 3 Pro Image) price history
2 price records since 9/25/2026
Nano Banana Pro (Gemini 3 Pro Image) cost calculator
$100/month
Standard pricing
Overview
What is Nano Banana Pro (Gemini 3 Pro Image)?
Nano Banana Pro (Gemini 3 Pro Image) is a vision model from Google. Google's state-of-the-art image generation and editing model. Output price is per 1M image tokens. Its 131K context window and $2.00 input price make it a candidate for quality-focused production applications.
Rates
Nano Banana Pro (Gemini 3 Pro Image) pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.20
Per 1M tokens
Capabilities
Nano Banana Pro (Gemini 3 Pro Image) Tools
Tools available when using Nano Banana Pro (Gemini 3 Pro Image) through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
Nano Banana Pro (Gemini 3 Pro Image) API providers
2 providers serve Nano Banana Pro (Gemini 3 Pro Image). Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Google AI Studio | $2.00 | $12 | $0.20 | 131K | 99.86% |
| $2.00 | $12 | $0.20 | 66K | 99.95% |
- Input
- $2.00
- Output
- $12
- Cached
- $0.20
- Context
- 131K
- Uptime
- 99.86%
- Input
- $2.00
- Output
- $12
- Cached
- $0.20
- Context
- 66K
- Uptime
- 99.95%
Strengths and limitations
Strengths
- Measured results (quality score 82 · Arena Elo 1211 · MMLU-Pro 75.4%) position it for demanding production work.
- A 131K context window covers most focused application workflows.
- Supports vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- The 131K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider