GPT-5.5

GPT-5.5

Description of the GPT-5.5 neural network

GPT-5.5 is OpenAI's flagship multimodal model, released on April 23, 2026. It represents a significant step forward compared to the previous version, GPT-5.4, and outperforms models such as Claude Opus 4.7 and Gemini 3.1 Pro on most public benchmarks. The model is particularly strong in agentic tasks, operating system control, advanced mathematics, and cybersecurity.

The main feature of GPT-5.5 is the ability not just to generate a response, but to drive a task to completion. The model can use external tools, verify intermediate results at each stage, and correct errors along the way. Thanks to this, it solves complex multi-step tasks with fewer follow-ups from the user.

Key areas of application

The model is focused on programming, data analysis, conducting research, and preparing documents. It has shown high results in the Terminal-Bench 2.0 tests (82.7% accuracy), confirming its competence in working with code and the terminal.

Token efficiency

GPT-5.5 consumes approximately 40% fewer tokens to complete a task compared to GPT-5.4 while maintaining the same speed. This means the model produces more useful output per token spent, which partially offsets the higher API cost.

GPT-5.5 Specifications

Specification	Value
Developer	OpenAI
Model type	Multimodal (text, images, code)
Category	LLM models, Data analysis, Programming, Text and copywriting
Release date	April 23, 2026
Context window	1 million tokens
Reasoning modes	non-reasoning, xhigh, and others (5 modes total)
Artificial Analysis Intelligence Index rating	60 points
API price (input)	$5 per 1M tokens
API price (output)	$30 per 1M tokens
Availability in ChatGPT	Plus, Pro, Business, Enterprise plans
Availability in Codex	Plus, Pro, Business, Enterprise plans

Who is the GPT-5.5 neural network suitable for?

Developers and engineers

GPT-5.5 will be useful for programmers who need not just code generation, but full-fledged debugging, refactoring, and development of complex modules. The model is especially strong in agentic tasks and terminal work, making it a good tool for automating development processes.

Data analysts and researchers

For specialists working with large data sets, the model offers capabilities for analysis, report preparation, and research work. High accuracy in mathematical tasks makes it suitable for complex computations and statistical analysis.

Users working with complex multi-step tasks

GPT-5.5 is suitable for anyone who regularly faces tasks that require sequential planning and step-by-step execution — from project management to cybersecurity and web research.

How to use the GPT-5.5 neural network?

Via ChatGPT

The model is available in the web version and the ChatGPT app for users of the Plus, Pro, Business, and Enterprise plans. After subscribing, GPT-5.5 can be selected as the active model in the chat interface.

Via the Codex development environment

Developers can use GPT-5.5 in the Codex environment, which integrates with programming workflows. Codex is available for the same plans as ChatGPT.

Via API

At release, the API for GPT-5.5 was announced as "coming soon." It is expected to cost $5 per 1 million input tokens and $30 per 1 million output tokens. Exact API launch dates and regional restrictions have not yet been announced.

Key features of GPT-5.5

Improved code handling

GPT-5.5 effectively handles writing, debugging, and refactoring code. The model can develop turnkey projects, including architecture planning, module writing, and testing. In the Terminal-Bench 2.0 benchmark, the model achieved 82.7% accuracy.

Completing complex multi-step tasks

The model can break a task into stages, plan a sequence of actions, execute each step, and verify intermediate results. This enables solving tasks that require coordination of multiple tools and data sources.

Data analysis and research work

GPT-5.5 can process large volumes of data, prepare analytical reports, conduct research, and summarize information. In the GDPval test, which evaluates the performance of real professional tasks, the model scored 84.9%.

Working with external tools

The model can call external tools, verify the correctness of their work, and adjust its actions if necessary. This is especially important for agentic scenarios that require interaction with the operating system, databases, or web services.

Advantages of GPT-5.5

Benchmark leadership

GPT-5.5 outperforms Claude Opus 4.7 and Gemini 3.1 Pro on 14 public benchmarks. The gap is especially noticeable in advanced mathematics (FrontierMath Tier 4), where the model nearly doubles its competitors.

High token efficiency

Compared to GPT-5.4, the model uses 40% fewer tokens per task at the same speed. This means users get more substantive results for fewer tokens, which partially mitigates the impact of the higher price.

Five reasoning modes

GPT-5.5 offers five reasoning effort modes — from non-reasoning (fast answers without deep analysis) to xhigh (maximum reasoning depth). This allows flexible tuning of the balance between speed and quality depending on the task.

Strengths in specific areas

The model shows the best results in agentic code (Terminal-Bench 2.0 — 82.7%), real-world work tasks (GDPval — 84.9%), operating system control (OSWorld-Verified), web research (BrowseComp), and cybersecurity (CyberGym).

Disadvantages of GPT-5.5

High API price

The GPT-5.5 API costs twice as much as its predecessor GPT-5.4: $5 per 1M input tokens versus $2.50, and $30 per 1M output tokens versus $15. This can be a significant factor for developers and companies planning to integrate the model into their products.

Lagging behind Claude Opus 4.7 in some tasks

Despite overall leadership, GPT-5.5 trails Claude Opus 4.7 on the SWE-Bench Pro benchmark (58.6% vs. 64.3%), as well as in research writing and instruction following tasks. In addition, the model has lower vision resolution compared to Opus 4.7.

API not yet available

At release, the API for GPT-5.5 had not been launched — access to the model is only available through ChatGPT and Codex. For developers who require programmatic integration, this creates temporary inconvenience.

What tasks does GPT-5.5 solve?

Programming and debugging

The model handles writing complex software modules, debugging existing code, refactoring, and developing projects from scratch. It is especially strong in agentic scenarios — working in the terminal, managing the file system, and automating developer tasks.

Large data set analysis

GPT-5.5 can process and analyze large datasets, identify patterns, build reports and visualizations. The 1 million token context window allows working with large documents and databases without the need to split queries.

Advanced mathematics

The model shows excellent results in solving complex mathematical problems (FrontierMath Tier 4), making it suitable for scientific calculations, statistical modeling, and analysis.

Cybersecurity and web research

In CyberGym and BrowseComp tests, GPT-5.5 demonstrates strengths in tasks related to security, searching for information on the internet, and analyzing web content.

GPT-5.5 Pricing

ChatGPT and Codex subscription

The model is available as part of ChatGPT Plus, Pro, Business, and Enterprise subscriptions. The Plus subscription starts at $20 per month. The price of the GPT-5.5 Pro plan matches the price of GPT-5.4 Pro — the model does not require any additional fee beyond the subscription cost for users on the respective plans.

API prices

For developers who will need programmatic access, the API will cost $5 per 1 million input tokens and $30 per 1 million output tokens. This is twice as expensive as GPT-5.4, where prices were $2.50 and $15, respectively. At release, the API has not yet been launched — OpenAI promises to provide access "very soon."

Terms of use for GPT-5.5

To use GPT-5.5 via ChatGPT or Codex, an active subscription to one of the plans is required: Plus, Pro, Business, or Enterprise. The model is available in the standard model selection interface — users on the respective plans can switch to GPT-5.5 without any additional actions.

API access, when it becomes available, will be governed by OpenAI's standard terms of use for developers. Exact regional restrictions and requirements (for example, the need for a VPN) have not been specified at this time.

Availability of GPT-5.5

At release, the model is available in two environments:

• ChatGPT — web version and mobile apps for Plus, Pro, Business, and Enterprise subscribers.
• Codex — OpenAI's development environment, available for the same plans.

API access is not yet implemented. Information about supported languages, regions, and possible access restrictions has not been disclosed.

How GPT-5.5 differs from alternatives

Comparison with GPT-5.4

GPT-5.5 uses 40% fewer tokens per task while maintaining speed, but the API price is twice as high. The model is significantly improved in agentic scenarios and multi-step tasks, and also outperforms its predecessor on all public benchmarks.

Comparison with Claude Opus 4.7

GPT-5.5 surpasses Claude Opus 4.7 on most public tests, especially in mathematics (nearly double the margin in FrontierMath Tier 4) and agentic code. However, it trails Opus 4.7 on SWE-Bench Pro (58.6% vs. 64.3%), in research writing, instruction following, and vision resolution.

Comparison with Gemini 3.1 Pro

GPT-5.5 surpasses Gemini 3.1 Pro on most public benchmarks. The model is especially strong in OS control (OSWorld-Verified), cybersecurity (CyberGym), and web research (BrowseComp).

General differences

The main advantage of GPT-5.5 is its high token efficiency and the ability to drive tasks to completion with minimal follow-ups. Five reasoning modes allow flexible tuning of response quality for a specific task. The main drawback is the doubled API price compared to its predecessor.

Conclusion

GPT-5.5 is OpenAI's flagship model, released on April 23, 2026, and focused on solving complex intellectual tasks, especially in programming, data analysis, and multi-step scenarios. The model is faster, smarter, and more token-efficient than its predecessor, has reclaimed leadership from Anthropic on 14 public benchmarks, and demonstrates state-of-the-art results in agentic tasks, mathematics, and cybersecurity. The main downside is the doubled API price compared to GPT-5.4; however, for subscribers of ChatGPT and Codex, the model is available at no additional cost. GPT-5.5 focuses on driving tasks to completion using tools and step-by-step verification, which is especially valuable for developers, analysts, and anyone who works with complex multi-stage processes.