Google DeepMind (Gemini) / gemini-2-5-flash-image
Gemini 2.5 Flash Image stands out for Fast Gemini image generation with conversational editing and Suited to lightweight creative work and established integrations. It is best suited to rapid social visuals and iterative image editing.
Context
1M
token
Input
$0.27
/ 1M tokens
Output
$27.00
/ 1M tokens
Quality
#86
Elo 1016
Overview
Gemini 2.5 Flash Image stands out for Fast Gemini image generation with conversational editing and Suited to lightweight creative work and established integrations. It is best suited to rapid social visuals and iterative image editing.
Multimodal
Supports mixed text-image input and can use a 1M-token context window for longer material.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Image output
Can generate or return images through media-generation workflows.
Model maker
Google DeepMind (Gemini)
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
Media generation API
Base URL: https://api.sealink.io/v1
Pricing
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
gemini-2-5-flash-imagebase_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/images/generations \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "gemini-2-5-flash-image","prompt": "A serene lake at sunset, oil painting style","n": 1,"aspect_ratio": "16:9","image_size": "1K"}'
import requestsurl = "https://api.sealink.io/v1/images/generations"headers = {"Authorization": f"Bearer {api_key}"}payload = {"model": "gemini-2-5-flash-image","prompt": "A serene lake at sunset, oil painting style","n": 1,"aspect_ratio": "16:9","image_size": "1K",}resp = requests.post(url, json=payload, headers=headers)data = resp.json()print(data["data"][0]["url"])
const resp = await fetch("https://api.sealink.io/v1/images/generations", {method: "POST",headers: {"Authorization": `Bearer ${process.env.SEALINK_API_KEY}`,"Content-Type": "application/json",},body: JSON.stringify({model: "gemini-2-5-flash-image",prompt: "A serene lake at sunset, oil painting style",n: 1,aspect_ratio: "16:9",image_size: "1K",}),});const data = await resp.json();console.log(data.data[0].url);