OpenAI / gpt-5.5
GPT-5.5 stands out for High-end GPT for complex professional work and Long-running coding, research, and agent workflows. It is best suited to complex software engineering and long-running professional agents.
Context
128K
token
Input
$5.00
/ 1M tokens
Output
$30.00
/ 1M tokens
Quality
#17
Elo 1380
Overview
GPT-5.5 stands out for High-end GPT for complex professional work and Long-running coding, research, and agent workflows. It is best suited to complex software engineering and long-running professional agents.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Reasoning
Better suited for multi-step analysis, planning, and tasks that need deliberate reasoning.
Model maker
OpenAI
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
OpenAI-compatible Chat Completions
Base URL: https://api.sealink.io/v1
Pricing
Light production run
100K input + 25K output
$1.25
Higher-volume run
1M input + 250K output
$12.50
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
gpt-5.5base_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "gpt-5.5","messages": [{"role": "user", "content": "Hello."}]}'
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="gpt-5.5",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.io/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "gpt-5.5",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);