Speed
Output tokens / second
Custom pricing for production workloads
OpenAI's most capable and intuitive frontier model to date, built for agentic coding, real computer use, and knowledge work that actually gets done without hand-holding.
From end-to-end engineering tasks to navigating live software, GPT-5.5 closes the gap between "AI assistant" and "AI colleague."
openai/gpt-5-5https://api.aimlapi.com/v1GPT-5.5 is a frontier-scale multimodal language model engineered to handle complex reasoning, long-context understanding, and tool-driven execution with high reliability. It improves on previous generations by delivering more consistent outputs, stronger logical coherence, and better alignment with user intent.
Unlike earlier models that focused primarily on generating responses, GPT-5.5 is designed to support entire workflows from initial analysis and planning to execution and refinement, without losing context or structure along the way.
| Feature | Specification |
|---|---|
| Model Type | Multimodal Large Language Model |
| Context Window | Up to 256K+ tokens (extended variants available) |
| Input Modalities | Text, Image |
| Output Modalities | Text, Structured Data, Code |
| Reasoning Modes | Standard + Deep Reasoning |
| Tool Use | Native, multi-step orchestration |
GPT-5.5 is OpenAI's strongest coding model to date. It can implement features, refactor large codebases, debug production issues, and write tests, all in a single long-horizon session without losing context. It improves on GPT-5.4 across every coding benchmark while using fewer tokens to get there.
The model can operate software directly: navigate interfaces, fill spreadsheets, submit forms, and move across applications. This isn't screen-reading theater, it interprets intent and translates it into real computer actions, scoring 78.7% on OSWorld-Verified. Think of it as a highly capable digital worker.
GPT-5.5 extends meaningfully into scientific reasoning, a new frontier for this model family. It's designed for intelligence-bottlenecked tasks where the work requires drawing connections across large bodies of information and reasoning through uncertainty rather than just retrieving facts.
Sales presentations, financial models, legal analysis, scheduling, and operational documents, GPT-5.5 scores 84.9% on GDPval, which evaluates AI performance across 44 real-world professional occupations. For many tasks, it matches or exceeds what industry professionals produce.
GPT-5.5 is documented as suited to coding and debugging code, including agentic coding and development tasks such as implementation, refactoring, testing, and validation. It is also suited to research and information work, including online research, information synthesis, analysis, and early scientific research workflows.
It is documented for document-heavy work, including creating documents, spreadsheets, and slide decks, as well as other knowledge-work tasks. It is also suited to software operation and computer-use workflows, where it can move across tools until a task is finished.
See how GPT-5.5 compares in generation speed. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 9 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $5 | 1M tokens |
| Output | $30 | 1M tokens |
| Cached input | $0.5 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $5 | $30 | |
| $0.1 | $0.5 | |
| $1 | $5 | |
| $2 | $10 | |
| $2.12 | $10.58 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/gpt-5-5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-5-5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-5-5",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());GPT-5.5 has a 1,050,000 tokens context window and can return up to 128,000 tokens.
GPT-5.5 takes image, text as input and returns text.
Use openai/gpt-5-5 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT-5.5 costs $5 input and $30 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, GPT-5.5 can stream responses as they are generated.
Yes, GPT-5.5 accepts image input alongside text.
GPT-5.5 was built by OpenAI.