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GPT 5.5 Pro

Input:$24/M
Output:$144/M
Udgivet:Apr 24, 2026

OpenAIs mest kapable model, udviklet til de sværeste opgaver og langvarige agentbaserede arbejdsgange. GPT-5.5 Pro udmærker sig ved kompleks kodning, computeranvendelse, dybdegående research, dataanalyse og videnskabelig ræsonnering — og leverer intelligens på førende niveau med GPT-5.4-latens og større tokeneffektivitet. Ideel til virksomheds- og professionelle brugsscenarier, der kræver den højeste standard for præcision og autonom opgaveudførelse.

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Playground for GPT 5.5 Pro

Udforsk GPT 5.5 Pro's Playground — et interaktivt miljø til at teste modeller og køre forespørgsler i realtid. Prøv prompts, juster parametre og iterer øjeblikkeligt for at fremskynde udvikling og validere use cases.

Technical Specifications of GPT-5.5 Pro

SpecificationGPT-5.5 Pro
Model familyGPT-5.5 Pro (high-compute reasoning variant)
Primary modalityText + image input, text output
Context window1,050,000 tokens
Max output128,000 tokens
Knowledge cutoffDec. 1, 2025
Reasoning profileHigh-compute reasoning optimized
API accessResponses API
Tool supportFunction calling, web search, file search, code interpreter, hosted shell, MCP
StreamingNot supported
Snapshotgpt-5.5-pro-2026-04-23

What is GPT-5.5 Pro?

GPT-5.5 Pro is OpenAI’s high-compute variant within the GPT-5.5 family optimized for difficult reasoning, agentic workflows, deep research, and precision-heavy professional tasks. It is positioned less as a general “fast default” model and more as a model for difficult problems where latency is secondary to quality.

Main Features of GPT-5.5 Pro

  • 1M+ context window: Supports 1,050,000 tokens for extremely large repositories, contracts, logs, or research corpora.
  • High-accuracy reasoning: Tuned for tougher questions where correctness matters more than latency.
  • Tool orchestration: Can use web search, files, code interpreter, and hosted shell in Responses API workflows.
  • Vision input support: Accepts images for charts, diagrams, screenshots, and scanned content.
  • Enterprise-scale automation: Suitable for agent workflows that combine planning, retrieval, execution, and verification.
  • Large outputs: Up to 128,000 output tokens for reports, code generation, and long-form synthesis.

Benchmark Performance (Reported)

Selected published benchmark figures include:

  • GDPval: 82.3%
  • BrowseComp: 90.1%
  • FrontierMath Tier 1–3: 52.4%
  • FrontierMath Tier 4: 39.6%
  • Investment Banking Modeling Tasks (internal): 88.6%

These reported results position it particularly strongly for difficult knowledge work and tool-augmented reasoning.

GPT-5.5 Pro vs GPT-5.5 vs GPT-5.4 Pro

ModelBest forContextReasoningNotable point
GPT-5.5 ProHighest-precision professional work1,050,000HighestSlower, more compute, stronger on hard tasks
GPT-5.5General frontier coding and professional work1,050,000HighestFaster and cheaper than Pro
GPT-5.4 ProPrevious Pro-tier option1,050,000HighestSimilar price/context, older snapshot and slightly different benchmark mix

In OpenAI’s published benchmark table, GPT-5.5 Pro edges GPT-5.4 Pro on several measures such as GDPval, BrowseComp, GeneBench, and FrontierMath, while GPT-5.4 Pro slightly leads on Humanity’s Last Exam with tools. That makes GPT-5.5 Pro a newer “best effort” option rather than a strict across-the-board replacement.

How to access and use GPT-5.5 Pro API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to GPT-5.5 Pro API

Select the “gpt-5.5-pro” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. Where to call it:   response format.

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

FAQ

Priser for GPT 5.5 Pro

Udforsk konkurrencedygtige priser for GPT 5.5 Pro, designet til at passe til forskellige budgetter og brugsbehov. Vores fleksible planer sikrer, at du kun betaler for det, du bruger, hvilket gør det nemt at skalere, efterhånden som dine krav vokser. Opdag hvordan GPT 5.5 Pro kan forbedre dine projekter, mens omkostningerne holdes håndterbare.

TierConditionComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
short_contextlen <= 272000
Input:$24.0000/M
Output:$144.0000/M
Input:$30.0000/M
Output:$180.0000/M
-20%
long_context-
Input:$48.0000/M
Output:$216.0000/M
Input:$60.0000/M
Output:$270.0000/M
-20%

Eksempelkode og API til GPT 5.5 Pro

Få adgang til omfattende eksempelkode og API-ressourcer for GPT 5.5 Pro for at strømline din integrationsproces. Vores detaljerede dokumentation giver trin-for-trin vejledning, der hjælper dig med at udnytte det fulde potentiale af GPT 5.5 Pro i dine projekter.

curl https://api.cometapi.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-5.5-pro",
    "input": "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    "reasoning": {
      "effort": "medium"
    }
  }'

cURL Code Example

curl https://api.cometapi.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-5.5-pro",
    "input": "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    "reasoning": {
      "effort": "medium"
    }
  }'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)
response = client.responses.create(
    model="gpt-5.5-pro",
    input="How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    reasoning={"effort": "medium"},
)

print(response.output_text)

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const BASE_URL = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey: COMETAPI_KEY,
  baseURL: BASE_URL,
});

const response = await client.responses.create({
  model: "gpt-5.5-pro",
  input: "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
  reasoning: {
    effort: "medium",
  },
});

console.log(response.output_text);