Nano Banana (gemini-2.5-flash-image) Model Card #
Overview #
Nano Banana (gemini-2.5-flash-image) is Google's foundational image generation model in the Gemini family. It introduced conversational image generation and editing at a fixed 1024px resolution.
- Model Code:
gemini-2.5-flash-image
- Release Date: October 2, 2025 (GA)
- Retirement Date: October 2, 2026 (Migration recommended to Nano Banana 2 Lite)
- Status: General Availability (GA)
Technical Specifications #
| Property |
Value |
| Input Modalities |
Text, Images (up to 3), PDF (up to 3 pages) |
| Output Modalities |
Image and Text |
| Input Token Limit |
65,536 tokens |
| Output Token Limit |
32,768 tokens |
| Image Generation Cost |
Fixed at 1,290 tokens per image |
| Max Resolution |
1K only (1024px bounding box; 2K/4K unsupported) |
| Aspect Ratios |
10 standard ratios |
| Thinking Mode |
❌ Not Supported |
| Search Grounding |
❌ Not Supported |
| Video Context |
❌ Not Supported |
| Function Calling |
❌ Not Supported |
| Watermarking |
SynthID (Always On) + C2PA Metadata |
Supported Aspect Ratios & Output Dimensions (1K Fixed) #
| Aspect Ratio |
Output Dimensions |
Token Cost |
1:1 |
1024 × 1024 |
1,290 |
2:3 |
832 × 1248 |
1,290 |
3:2 |
1248 × 832 |
1,290 |
3:4 |
864 × 1184 |
1,290 |
4:3 |
1184 × 864 |
1,290 |
4:5 |
896 × 1152 |
1,290 |
5:4 |
1152 × 896 |
1,290 |
9:16 |
768 × 1344 |
1,290 |
16:9 |
1344 × 768 |
1,290 |
21:9 |
1536 × 672 |
1,290 |
Model Comparison: Nano Banana vs Banana 2 Family #
| Feature |
Nano Banana (gemini-2.5-flash-image) |
Nano Banana 2 Lite (gemini-3.1-flash-lite-image) |
Nano Banana 2 (gemini-3.1-flash-image) |
| Latency |
~4–6s |
< 2s |
~3–5s |
| Resolutions |
1K only |
1K only |
512px, 1K, 2K, 4K |
| Aspect Ratios |
10 standard |
14 discrete |
14 discrete |
| Search Grounding |
❌ None |
❌ None |
Web & Image Search |
| Reference Images |
Up to 3 |
Up to 14 |
Up to 14 |
| Thinking Support |
❌ None |
minimal, high |
minimal, high |
API Code Example #
import base64
from google import genai
client = genai.Client()
interaction = client.interactions.create(
model="gemini-2.5-flash-image",
input="A high-contrast ink sketch of a mountain pass at dawn",
response_format={
"type": "image",
"mime_type": "image/png",
"aspect_ratio": "16:9",
},
)
if interaction.output_image:
with open("mountain.png", "wb") as f:
f.write(base64.b64decode(interaction.output_image.data))