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GPT 5.5 Pro

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

OpenAIs mest kapable modell, konstruert for de mest krevende oppgavene og langvarige agentdrevne arbeidsflyter. GPT-5.5 Pro utmerker seg i kompleks koding, bruk av datamaskin, dyptgående forskning, dataanalyse og vitenskapelig resonnement — og leverer intelligens på nivå med den teknologiske fronten med GPT-5.4-latens og høyere tokeneffektivitet. Ideell for bedrifts- og profesjonelle bruksområder som krever den høyeste standarden for nøyaktighet og autonom oppgaveutførelse.

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Playground for GPT 5.5 Pro

Utforsk GPT 5.5 Pro's Playground — et interaktivt miljø for å teste modeller og kjøre spørringer i sanntid. Prøv prompts, juster parametere og iterer umiddelbart for å akselerere utvikling og validere brukstilfeller.

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

Utforsk konkurransedyktige priser for GPT 5.5 Pro, designet for å passe ulike budsjetter og bruksbehov. Våre fleksible planer sikrer at du bare betaler for det du bruker, noe som gjør det enkelt å skalere etter hvert som kravene dine vokser. Oppdag hvordan GPT 5.5 Pro kan forbedre prosjektene dine samtidig som kostnadene 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 for GPT 5.5 Pro

Få tilgang til omfattende eksempelkode og API-ressurser for GPT 5.5 Pro for å effektivisere integreringsprosessen din. Vår detaljerte dokumentasjon gir trinn-for-trinn-veiledning som hjelper deg med å utnytte det fulle potensialet til GPT 5.5 Pro i prosjektene dine.

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);