Primary use stated or inferred cautiously from official documentation.
G
GOOGLE / gemini-3.1-flash-image
Nano Banana 2
Production image model that combines generation, editing, and visual reasoning with a balance of quality, cost, and latency.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | gemini-3.1-flash-image |
|---|---|
| Model type | Image |
| Access model | Paid proprietary |
| License | Proprietary |
| Deployment | Hosted API |
| Release | 2026 |
| Knowledge cutoff | Not published |
| Entrance | Text · Image |
| Exit | Image · Text |
| Context window | Multimodal prompt |
| maximum output | Image |
| Reasoning | Not applicable or not published |
| Published tools | Generation · Editing · Grounding |
| Structured Outings | Not applicable or not published |
| Batch processing | Not published |
| Prompt cache | Not published |
| Fine-tuning | Not published |
| Verified platforms | Gemini API · Google AI Studio |
Visual production at scale, iterative editing, and content with text.
Google announced its deprecation on October 6, 2026 and recommends migrating to gemini-nano-banana-2.1. No shutdown date has been announced. We retain this historical profile without confusing deprecation with service removal.
03 / CAPABILITIES
What it can do
Orientation
Visual production at scale, iterative editing, and content with text.
Context
Multimodal prompt · Image
Tools and integration
Generation · Editing · Grounding
Access
Gemini API
Input modalities
TextImage
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | Not published | Standard API rate |
| Cached input | Not published | Reading reused prefixes |
| Cache write or storage | Not published | The condition varies by provider |
| Standard output | Not published | May include reasoning tokens |
| Batch input | Not published | Asynchronous processing |
| Batch output | Not published | Asynchronous processing |
Consult the primary source: the billing unit depends on the model type and access channel.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| Evaluación visual Nano Banana 2 | Recommended model | Quality, cost, and latency | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
Nano Banana 2
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
How to Evaluate Nano Banana 2 for Turn-Based Visual Editing
A proposed protocol for measuring whether Nano Banana 2 applies successive changes while preserving the elements that instructions do not ask it to modify. This is not an experimental results report: it sets out what would need to be run and documented to obtain such results.
01 Oct 2026 ↗
Localized AI image editing: how to verify that the model changes only what was requested and preserves the rest of the asset
A generative edit that is useful in production is not validated merely because the requested change looks correct. This guide proposes treating every retouch as a preservation contract: define what may change, what must remain, how to measure it, and when to require human review.
23 Sep 2026 ↗07 / SOURCES