GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
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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

MAI-Code-1.1-Flash is a small, efficient coding model designed to help engineering teams write better code faster. Now in production in GitHub Copilot and built into VS Code, it focuses on real-world developer workflows, with particular improvements for command-line tasks and .NET development based on developer feedback. Compared with the version introduced at Microsoft Build in June, the model produces higher-quality code while using fewer tokens and streaming responses faster. Microsoft reports a 22% improvement on Terminal-Bench 2.1 in GitHub Copilot CLI and a 15% improvement on .NET tasks. Production results also showed a 4% increase in code survival and a 9% increase in return visits. In GitHub Copilot, tokens stream 25% faster and the model uses 25% fewer tokens to complete a task, aiming to deliver faster answers, less waiting, and more useful work from every token. Its gains come from improved training and serving efficiency, with optimization centered on real-world use.

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

Software engineering teams and developers seeking to write and complete code faster with an efficient AI coding model integrated into their development workflow

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

$5 per 1M tokens (input)
$5 input / $30 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 4.0 / 5
features 4.0 / 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

  • The agentic coding angle is the best part. It can plan, reason, and execute across coding tasks, which makes it useful beyond simple autocomplete. I also like the screenshot-to-prototype feature. Being able to understand screenshots, diagrams, and designs could save a lot of time when turning UI ideas into working code.

Cons

  • The main downside is that I would still review everything carefully. Even a strong coding model can make bad assumptions, miss edge cases, or produce code that looks right but fails in a real project.

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

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-code-1-1-flash-br-better-faster-at-a-quarter-of-the-cost/

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Mythos 5

Claude Mythos 5

Anthropic
MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI

Categories

Categories

Integrations

.NET
GitHub Copilot
Microsoft Foundry
Visual Studio Code
Augment Code
Databricks
Devin
GPT-5.4 mini
Ghost
Google Drive
Kubernetes
Microsoft Azure
Microsoft SharePoint
Muse
Objective-C
Oh My OpenAgent
Perplexity Pro
Pi Agent
Ruby
XML

Integrations

.NET
GitHub Copilot
Microsoft Foundry
Visual Studio Code
Augment Code
Databricks
Devin
GPT-5.4 mini
Ghost
Google Drive
Kubernetes
Microsoft Azure
Microsoft SharePoint
Muse
Objective-C
Oh My OpenAgent
Perplexity Pro
Pi Agent
Ruby
XML
Claim GPT-5.6 Sol and update features and information
Claim GPT-5.6 Sol and update features and information
Claim MAI-Code-1.1-Flash and update features and information
Claim MAI-Code-1.1-Flash and update features and information