Skip to main content
Microsoft Foundry
gpt-6.1-sol

gpt-6.1-sol

GPT‑6.1 Sol is OpenAI’s efficient frontier reasoning model, designed for complex professional and enterprise workloads.
OpenAI
Direct from Azure
Version: 2026-09-29

Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:

  • Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
  • Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
  • Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
  • Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.

Learn more about Direct from Azure models .

About this model

GPT-6.1-Sol is an efficient reasoning model in the GPT-6 Sol family, designed for complex problem-solving, software engineering, knowledge work, document understanding, and agent-assisted workflows. It delivers strong reasoning capabilities with an efficient serving profile.

Key model capabilities

  • Advanced Reasoning – Performs multi-step reasoning for complex problem-solving and decision support.
  • Coding and Engineering – Supports code generation, debugging, repository analysis, and technical problem-solving.
  • Long-Context Understanding – Analyzes large documents, repositories, and knowledge collections.
  • Multimodal Understanding – Accepts text and image inputs and generates text outputs.
  • Knowledge Work – Supports document understanding, research synthesis, and specialist technical workflows.
  • Agentic Workflows – Supports tool-enabled, multi-step tasks and workflow automation.
  • Flexible Reasoning – Provides multiple reasoning-effort settings to match task complexity.

Key use cases

  • Complex reasoning, planning, and decision support
  • Software development, debugging, and repository analysis
  • Scientific and specialist technical workflows
  • Large-document and knowledge-base analysis
  • Enterprise knowledge work and research synthesis
  • Tool-enabled agents and workflow automation

Out of scope use cases

  • Fine-tuning
  • Reinforcement fine-tuning graders
  • Predicted outputs
  • Deprecated local-shell tooling

Quick facts

PublisherOpenAI
AuthorOpenAI
TypeChat completion, Responses
LifecycleGenerally available (GA)
Hosted onAzure
Input typetext, image
Output typetext
Context window1050k
Token limits128k output