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gemini-2.5-flash-image API pricing & access

gemini-2.5-flash-image API pricing: $0.3 per 1M tokens. gemini-2.5-flash-image. Supports text, image input and text, image output. Listed specific…

gemini-2.5-flash-image API access

gemini-2.5-flash-image. Supports text, image input and text, image output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access gemini-2.5-flash-image through the unified API gateway.

Category: image
Context length: 65536 tokens
Maximum output: 32768 tokens
Supported APIs: Image Generation API, Gemini API, OpenAI Chat Completions API
API endpoints: POST /v1/images/generations, POST /v1beta/models/gemini-2.5-flash-image:generateContent, POST /v1/chat/completions
Input modalities: text, image
Output modalities: text, image
Capabilities: vision

gemini-2.5-flash-image API pricing

Base input price: $0.3 per 1M tokens
Base output price: $30 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About gemini-2.5-flash-image

gemini-2.5-flash-image is Google's image-generation and editing model also known as Nano Banana. It takes text and images and returns images and text for existing creative and conversational editing workflows.

This image model serves a different purpose from the text-output gemini-2.5-flash. Search grounding, thinking and Live support are not listed. Compare subject fidelity and text using the same reference image when migrating.

Official reference, checked 2026-10-14.

Use cases and prompting

Specify the subject, background, composition and text and inspect completeness.
Attach the original image and identify editable areas, checking preserved details for drift.
Retain each image and instruction to inspect unwanted changes across editing turns.
Compare the same test cases with gemini-nano-banana-2.1; check request and response formats in the API documentation.

How to call gemini-2.5-flash-image

gemini-2.5-flash-image is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-2.5-flash-image", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="gemini-2.5-flash-image",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about gemini-2.5-flash-image

What is gemini-2.5-flash-image?

How do I call gemini-2.5-flash-image?

Create an API key with access to gemini-2.5-flash-image, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gemini-2.5-flash-image priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of gemini-2.5-flash-image?

The model catalog lists a context window of 65536 tokens. Check the selected endpoint for request limits.

What is the maximum output of gemini-2.5-flash-image?

The model catalog lists a maximum output of 32768 tokens. Your request settings may set a lower limit.

How should I evaluate gemini-2.5-flash-image for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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