GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Inkling-Small

Inkling-Small

Thinking Machines Lab
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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

Inkling-Small is an efficient model that offers performance comparable to Inkling at a quarter of its size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters, trained on NVIDIA GB300 NVL72 systems. It supports native reasoning across text, images, and audio, variable thinking effort, and context windows of up to one million tokens. Users adjust reasoning effort from minimal to extra high to balance performance and compute. Improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. It performs well in coding and tool-use harnesses, exceeds 80% on SWE-bench Verified, and combines strong reasoning with efficient output. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens.

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

AI researchers and developers seeking an efficient open-weight multimodal model for reasoning, agentic tasks, and lower-cost deployment

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

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
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
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

  • Inkling-Small is really interesting from a developer’s point of view because it hits a sweet spot between serious model capability and practical deployability. A 276B-parameter model with only 12B active parameters per token is exactly the kind of architecture that makes sense if you care about cost, speed, and scaling real AI workflows. I also like that it is open weights under Apache 2.0. That makes it way more appealing for developers who want to fine-tune, inspect, customize, or build on top of the model without being completely locked into a closed API. The multimodal support is a big plus too. Being able to work with text, images, and audio inputs gives Inkling-Small a lot of room for developer tools, coding agents, support bots, document workflows, and internal automation.

Cons

  • The main downside is that “small” here is still not tiny. Even with only 12B active parameters, this is still a large open model that will require real infrastructure if you want to host it yourself. I would also want to test it deeply before making it the backbone of a production coding agent. The model card and early coverage look promising, but real developer workflows expose problems that benchmarks do not always catch: messy repos, flaky tests, weird dependencies, tool failures, and long multi-step tasks.

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

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/news/inkling-small/

Alternatives

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Inkling

Inkling

Thinking Machines Lab

Categories

Categories

Integrations

AiAssistWorks
Brokk
C++
ChatGPT Go
Claw Code
Codex CLI
GPT‑5.4‑Cyber
Ghost
Higgsfield Supercomputer
Kimi K2 Thinking
NextDocs
OpenTag
React
Router
SQL
SimpleClaw
Simtheory
SpawnHQ
Transor
Xcode

Integrations

AiAssistWorks
Brokk
C++
ChatGPT Go
Claw Code
Codex CLI
GPT‑5.4‑Cyber
Ghost
Higgsfield Supercomputer
Kimi K2 Thinking
NextDocs
OpenTag
React
Router
SQL
SimpleClaw
Simtheory
SpawnHQ
Transor
Xcode
Claim GPT-5.6 Sol and update features and information
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