Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Image model for prompt-driven generation, editing, and visual design workflows
- Released
- 7mo ago
- Image output / 1M tokens
- $60
Sources:models.devOpenRouter
Image prices are listed in the billing units published by each provider; resolution and quality can affect the final cost.
Provider pricing
Rates are shown in each provider's published units. Resolution, quality, audio, and other settings may change the final charge.
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Google DeepMind
- Model family
- Gemini
- Type
- Image generation
- Predecessor
- —
- Successor
- —
- Released
- February 26, 2026
- Model ID
google/gemini-3.1-flash-image-preview- Openness
- Closed
- License
- —
- Input modalities
- image, text
- Output modalities
- image, text
- Modality
- text+image->text+image
- Resolutions
- 512, 1K, 2K, 4K
- Aspect ratios
- 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9
- Images per request
- 1
- Reference images
- 0–14
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- google/gemini-3.1-flash-image-preview
- Source family
- gemini-flash
- Last updated
- 2026-02-26
- Knowledge cutoff
- 2025-01
- Model context
- 66K
- Model output limit
- 66K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- No
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "google/gemini-3.1-flash-image-preview",
"name": "Nano Banana 2 Preview",
"description": "Image model for prompt-driven generation, editing, and visual design workflows",
"family": "gemini-flash",
"last_updated": "2026-02-26",
"knowledge": "2025-01",
"attachment": true,
"reasoning": true,
"tool_call": false,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text",
"image"
]
},
"limit": {
"context": 65536,
"output": 65536
},
"release_date": "2026-02-26",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Pricing (published units) | Uptime 1d | Data handling |
|---|---|---|---|---|
| google-ai-studio | $60 (Image output / 1M tokens) | 99.65% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
Gemini app/webGoogle SynthID text watermarking
Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.
Official explanation