GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
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About

GPT-5.6 Sol is a next-generation OpenAI model designed for advanced reasoning, coding, agentic workflows, biology analysis, cybersecurity support, and complex knowledge work. It is part of the GPT-5.6 model family alongside Terra and Luna, with Sol positioned as the flagship model for the most demanding tasks. The model introduces a new max reasoning effort for deeper thinking and an ultra mode that uses subagents to accelerate complex work beyond a single-agent approach. GPT-5.6 Sol shows strong performance in command-line coding workflows, long-horizon security tasks, genomics analysis, vulnerability research, debugging, patch development, and defensive testing. OpenAI pairs the model’s stronger capabilities with layered safeguards, real-time misuse classifiers, account-level review, automated red-teaming, and enterprise controls for sensitive workflows. GPT-5.6 Sol helps developers, enterprises, researchers, and security teams complete sophisticated technical work.

About

OpenAI's deep research is an AI-powered tool designed to autonomously conduct complex, multi-step research tasks across various domains, such as science, coding, and mathematics. By analyzing user-provided inputs—such as questions, text documents, images, PDFs, or spreadsheets—the system formulates a structured research plan, gathers relevant information, and delivers comprehensive responses within minutes. It also provides process summaries with citations, helping users verify sources. While this tool significantly accelerates research efficiency, it may occasionally produce inaccuracies or struggle to differentiate between authoritative sources and misinformation. Currently available to ChatGPT Pro users, deep research represents a step toward AI-driven knowledge discovery, with ongoing improvements planned for accuracy and response time.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

GPT-5.6 Sol is best suited for developers, enterprise teams, AI engineers, researchers, security teams, cyber defenders, software organizations, biotechnology teams, and advanced technical users that need frontier reasoning, coding support, agentic workflows, biology analysis, defensive cybersecurity assistance, API access, Codex integration, and stronger safety controls

Audience

Researchers, professionals, and knowledge workers seeking AI-powered assistance for complex, multi-step research tasks across various domains

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$4 per 1M tokens (input)
$4 input / $20 output per 1M tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • GPT-5.6 Sol feels like the model I would reach for when the task is actually hard. As a developer, I like that it is built for deeper reasoning, coding, long-horizon planning, and agentic workflows instead of just quick prompt-and-response work. It is especially appealing for complex debugging, multi-step code changes, research-heavy engineering tasks, and agents that need to coordinate tools without losing the plot. The fact that OpenAI is positioning Sol as the most capable model in the GPT-5.6 family makes sense, because this is the one I would want for serious engineering work.

Cons

  • The main downside is that Sol is the premium option, so I would not use it for every single task. OpenAI lists Sol at a higher token price than Terra or Luna, which means developers will still need to be smart about routing simple jobs to cheaper models.

Pros & Cons from Real Users

Pros

  • I just started using OpenAI’s deep research, and I’m blown away. This thing is fast, thorough, and actually useful. I threw some complicated questions at it—stuff that would normally take me hours of digging—and it came back with well-structured, cited answers in minutes. It feels like having an insanely efficient research assistant that never gets tired. The best part? It doesn’t just spit out answers; it walks you through the process. I can see how it gathered information, which sources it used, and how it connected everything. That level of transparency makes it way more trustworthy than a typical chatbot.

Cons

  • There are some hiccups. It’s not perfect at judging credibility, so I still have to double-check some sources. Occasionally, it misinterprets what I’m asking and goes off in a weird direction. But honestly, compared to the time it saves me, these are minor issues.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

OpenAI
Founded: 2015
United States
openai.com/index/introducing-deep-research/

Alternatives

Alternatives

ARI

ARI

You.com
Claude Research

Claude Research

Anthropic
Grok 4.6

Grok 4.6

SpaceXAI
DeepSeek R1

DeepSeek R1

DeepSeek
Perplexity Research

Perplexity Research

Perplexity AI

Categories

Categories

Integrations

ChatGPT
ChatGPT Enterprise
ChatGPT Plus
ChatGPT Pro
GitHub
Microsoft SharePoint
OpenAI
App0
ChatGPT Agent
Dart
Go
JavaScript
Kotlin
Microsoft 365
OpenTag
Solidity
ThreadMaster.ai
Vercel AI Gateway
Verdent
Wazzap AI

Integrations

ChatGPT
ChatGPT Enterprise
ChatGPT Plus
ChatGPT Pro
GitHub
Microsoft SharePoint
OpenAI
App0
ChatGPT Agent
Dart
Go
JavaScript
Kotlin
Microsoft 365
OpenTag
Solidity
ThreadMaster.ai
Vercel AI Gateway
Verdent
Wazzap AI
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