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What is SWE-1.5?

Cognition has introduced SWE-1.5, the latest agent-model tailored for software engineering, which boasts an extensive "frontier-size" architecture comprising hundreds of billions of parameters alongside a comprehensive end-to-end optimization that enhances both its speed and intelligence. This advanced model nearly reaches state-of-the-art coding capabilities and sets a new benchmark for latency, achieving inference speeds of up to 950 tokens per second, which is nearly six times the speed of its forerunner, Haiku 4.5, and thirteen times faster than Sonnet 4.5. Developed through rigorous reinforcement learning in realistic coding-agent environments that entail multi-turn workflows, unit tests, and quality evaluations, SWE-1.5 utilizes integrated software tools and high-performance hardware, including thousands of GB200 NVL72 chips coupled with a bespoke hypervisor infrastructure. Its innovative design facilitates more efficient management of intricate coding challenges and significantly boosts productivity for software development teams. With its combination of rapid performance, efficiency, and smart engineering, SWE-1.5 is set to revolutionize the coding model landscape and help developers tackle their tasks more effectively. The potential impact of this model on the future of software engineering practices cannot be overstated.

What is MAI-Thinking-1?

MAI-Thinking-1 is an advanced reasoning model developed by Microsoft AI, specifically designed to address complex and significant issues, showcasing exceptional reasoning skills and strong software engineering capabilities within its class. With a configuration of 35 billion active parameters and approximately 1 trillion total parameters structured as a sparse Mixture of Experts, this model offers a more efficient inference footprint compared to larger counterparts while delivering performance that rivals top models on crucial software engineering evaluations. Microsoft crafted MAI-Thinking-1 from the ground up, employing high-quality, enterprise-grade, commercially licensed data to ensure its capabilities are acquired rather than sourced from external models. As a key component of Microsoft's innovative Hill-Climbing Machine, the model enjoys a collaborative development approach aimed at continuous and reliable improvements throughout all phases of its creation. MAI-Thinking-1 excels in agentic coding environments, possessing the ability to read and modify code, run tests, identify errors, and recover from mistakes during the process. Its capacity to adapt and learn in real-time enhances its value for developers who prioritize efficiency and reliability in their work. Ultimately, this model redefines the expectations for software engineering tools, blending advanced AI with practical coding applications to drive innovation in the field.

Media

Media

Integrations Supported

Claude Sonnet 4.6
GitHub Copilot
Microsoft Azure
Microsoft Foundry
Visual Studio Code

Integrations Supported

Claude Sonnet 4.6
GitHub Copilot
Microsoft Azure
Microsoft Foundry
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cognition

Date Founded

2023

Company Location

United States

Company Website

cognition.ai/blog/swe-1-5

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/introducing-mai-thinking-1/

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