Using Nano Banana (Gemini 2.5 Flash Image) on Vercel AI Gateway
Implementation guide · Gemini 2.5 · Google DeepMind
Serverless
Vercel AI Gateway exposes Nano Banana (Gemini 2.5 Flash Image) through model ID google/gemini-2.5-flash-image. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
google/gemini-2.5-flash-image— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
google/gemini-2.5-flash-imagecreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="google/gemini-2.5-flash-image",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.30 |
| Output tokens | $2.50 |
Capabilities
No model capability flags are currently sourced.
About Nano Banana (Gemini 2.5 Flash Image)
Google: Nano Banana (Gemini 2.5 Flash Image) available via OpenRouter. Pricing: $0.3/1M input, $2.5/1M output.
Model Specs
Released2025-04-01
Context33k
ArchitectureDecoder Only