GPT-6.1 Sol Reviews

GPT-6.1 Sol

5.0 out of 5 stars

Average Ratings 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
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support 0 out of 5 stars

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Description

GPT-6.1 Sol is an upgraded OpenAI model that combines advanced intelligence with lower operating costs for coding, professional knowledge work, computer use, scientific research, and autonomous agents. OpenAI positions it as offering near-GPT-6 Astra intelligence at one-fifth of Astra's standard input and output token prices. The model delivers substantial improvements over GPT-6 Sol in software engineering, complex document understanding, business automation, and long-horizon computer-use workflows. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at approximately one-fifth of the cost and surpasses GPT-6 Sol's highest score by 6.4 percentage points at lower reasoning effort. On AutomationBench, it scores 4.8 percentage points higher than GPT-6 Sol at the same reasoning setting and 2.2 points above Opus 5.5 at medium reasoning effort. GPT-6.1 Sol also improves computer use, coming within 2.1 percentage points of GPT-6 Astra on the OSWorld 2.0 offline set at maximum reasoning effort while costing roughly one-seventh as much per task. For scientific workflows, the model more than doubles GPT-6 Sol's Terminal-Bench Science 0.1 score at maximum effort while reducing average task cost by more than half. Factuality has also improved, with the share of responses containing a factual error at low reasoning effort falling from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol on OpenAI's difficult error-focused evaluation. Developers can access GPT-6.1 Sol through the OpenAI API for $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens, while eligible users can access it through ChatGPT Work and Codex.

Description

Gemini 4 Krypton is an unreleased AI model reportedly under development at Google DeepMind, with early discussions positioning it as a potential addition to the Gemini 4 lineup. The model has attracted attention through unofficial demonstrations comparing its performance with Gemini 4 Argon and Gemini 4 Carbon. These demonstrations suggest that Krypton may be optimized for demanding programming assignments, advanced reasoning, and the creation of complex digital experiences. Reported examples include generating interactive web applications, detailed user interfaces, animated content, and substantial amounts of executable code. Some early testers claim that Krypton spends significantly more time processing requests and produces larger implementations than other Gemini models. This approach could make it particularly useful for software development projects that require extensive planning, iterative refinement, and multiple interconnected components. As a member of the Gemini family, Krypton may incorporate capabilities associated with Google's multimodal AI research and intelligent agent development. However, Google has not officially confirmed the model's architecture, supported input formats, benchmark performance, pricing, or public availability. If these reported capabilities are validated, Gemini 4 Krypton could become a powerful option for developers and organizations working on sophisticated AI-assisted programming and automation projects.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

.NET Yes 
C# Yes 
C++ Yes 
CSS Yes 
Cursor Yes 
Devin Desktop Yes 
Gemini platform Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Kubernetes Yes 
Objective-C Yes 
OpenClaw Yes 
PHP Yes 
Python Yes 
Scala Yes 
Swift Yes 
TypeScript Yes 
Vercel AI Gateway Yes 
XML Yes 

Integrations

.NET Yes 
C# Yes 
C++ Yes 
CSS Yes 
Cursor Yes 
Devin Desktop Yes 
Gemini platform Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Kubernetes Yes 
Objective-C Yes 
OpenClaw Yes 
PHP Yes 
Python Yes 
Scala Yes 
Swift Yes 
TypeScript Yes 
Vercel AI Gateway Yes 
XML Yes 

Pricing Details

$2 per 1M tokens (input)
Input: $2 per 1 million tokens
Output: $10 per 1 million tokens
Cached Input: $0.10 per 1 million cached input tokens
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.com

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