Moduck

OpenAI: GPT-5.5 Pro

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding

Model lab
OpenAI
Model family
gpt-pro
Modalitiestext, image, pdf → text
Context window1,050,000
Maximum output128,000
Input · Base context tier (boundary 272000 tokens)USD 24 / 1M tokens
Output · Base context tier (boundary 272000 tokens)USD 144 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to openai/gpt-5.5-pro.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "openai/gpt-5.5-pro"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

GPT-5.5 Pro API Pricing

TypePrice information
Input · Base context tier (boundary 272000 tokens)USD 24 / 1M tokens
Output · Base context tier (boundary 272000 tokens)USD 144 / 1M tokens

Benchmarks

BenchmarkScoreMeasurementSource
BrowseComp90.1accuracy · Date: 2026-04-23
Humanity's Last Exam43.1accuracy · Variant: no tools · Date: 2026-04-23
Humanity's Last Exam57.2accuracy · Variant: with tools · Date: 2026-04-23
FrontierMath52.4accuracy · Dataset: Tier 1-3 · Date: 2026-04-23
FrontierMath39.6accuracy · Dataset: Tier 4 · Date: 2026-04-23
GDPval82.3wins or ties · Date: 2026-04-23
GeneBench33.2accuracy · Date: 2026-04-23

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput91.2 tok/sCurrent
Time to first token1.5 sCurrent
End-to-end latency7.8 sCurrent
Throughput
Current91.2 tok/s
Window average90.0 tok/s
Time to first token
Current1.5 s
Window average1.5 s
End-to-end latency
Current7.8 s
Window average7.5 s
Tail latency (P99)
Current13.6 s
Window average16.6 s
Prompt cache hit rate
Current26.3%
Window average23.7%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

GPT-5.5 Pro Compare models

ModelInput priceOutput priceContext windowCapabilities
GPT-5.5 ProThis pageUSD 24 / 1M tokens · Base context tier (boundary 272000 tokens)USD 144 / 1M tokens · Base context tier (boundary 272000 tokens)1,050,000Text output · Reasoning · Tool calling
GPT-5.4 ProUSD 12 / 1M tokens · Rate applies to input ≤ 271999 tokens · Service tier flexUSD 72 / 1M tokens · Rate applies to input ≤ 271999 tokens · Service tier flex1,050,000Text output · Reasoning · Tool calling
GPT-5.2 ProUSD 16.8 / 1M tokensUSD 134.4 / 1M tokens400,000Text output · Reasoning · Tool calling
GPT-5 ProUSD 12 / 1M tokensUSD 96 / 1M tokens400,000Text output · Reasoning · Tool calling
GPT-6.1 SolUSD 1.6 / 1M tokensUSD 8 / 1M tokens1,050,000Text output · Reasoning · Tool calling

Model specifications

Input
text, image, pdf
Output
text
Context window
1,050,000
Maximum input
922,000
Maximum output
128,000
Release date
2026-04-23
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
No
Open weights
No

Frequently asked questions

What is GPT-5.5 Pro for?

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding

What inputs and outputs does GPT-5.5 Pro support?

Recorded inputs: text, images, PDF; outputs: text.

How is GPT-5.5 Pro priced?

The pricing table shows the current recorded Moduck price. For example: Input · Base context tier (boundary 272000 tokens) USD 24 / 1M tokens; Output · Base context tier (boundary 272000 tokens) USD 144 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GPT-5.5 Pro?

Current model records list Context window 1,050,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses openai/gpt-5.5-pro. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.