Audience

Software developers, engineers, researchers, enterprises, AI application builders, professional knowledge workers, and agent developers that need advanced coding, reasoning, computer-use, scientific, document-analysis, and business-automation capabilities

About GPT-6.1 Sol

GPT-6.1 Sol is an OpenAI model designed to deliver near-GPT-6 Astra intelligence at substantially lower cost across coding, professional work, computer use, scientific research, and agentic workflows. It improves on GPT-6 Sol across complex tasks such as software engineering, document analysis, multi-step business automation, and computer interaction. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost while exceeding GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort. The model also improves computer use, outperforming GPT-6 Sol by seven percentage points on the OSWorld 2.0 offline set at maximum reasoning effort while costing less than half as much per task. GPT-6.1 Sol provides improved factuality and alignment, including greater transparency about limitations and stronger adherence to user instructions during agentic tasks. It is available through ChatGPT Work, Codex, and the OpenAI API.

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Pricing

Starting Price:
$2 per 1M tokens (input)
Pricing Details:
Input: $2 per 1 million tokens
Output: $10 per 1 million tokens
Cached Input: $0.10 per 1 million cached input tokens

Integrations

API:
Yes, GPT-6.1 Sol offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
More Reviews for GPT-6.1 Sol Write a Review

Company Information

OpenAI
Founded: 2015
United States
openai.com

Videos and Screen Captures

GPT-6.1 Sol Screenshot 1
GPT-6.1 Sol Screenshot 1 GPT-6.1 Sol Screenshot 2 GPT-6.1 Sol Screenshot 3
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

GPT-6.1 Sol Frequently Asked Questions

Q: What kinds of users and organization types does GPT-6.1 Sol work with?
GPT-6.1 Sol works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does GPT-6.1 Sol support in their product?
GPT-6.1 Sol supports these languages: English.
Q: What kind of support options does GPT-6.1 Sol offer?
GPT-6.1 Sol offers support via online.
Q: What other applications or services does GPT-6.1 Sol integrate with?
GPT-6.1 Sol integrates with: Codex Security, Agentforce Vibes, Vercel AI Gateway, AiAssistWorks, Amazon Bedrock, Amp, Anuma, Astra for Law, Auggie CLI, Augment Code, Amazon Web Services (AWS), Microsoft Foundry, Microsoft Foundry Models, Azure OpenAI Service, Bash, Brokk, C, C++, C#, Charlie, ChatGPT Canvas, ChatGPT Enterprise, ChatGPT Go, and ChatGPT Health and more.
Q: Does GPT-6.1 Sol have an API?
Yes, GPT-6.1 Sol has an API.
Q: What type of training does GPT-6.1 Sol provide?
GPT-6.1 Sol provides training in the form of documentation.
Q: How much does GPT-6.1 Sol cost?
Pricing for GPT-6.1 Sol starts at $2 per 1M tokens (input).

GPT-6.1 Sol Product Features

GPT-6.1 Sol Verified User Reviews

Write a Review
  • A GPT-6.1 Sol User
    Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User, Administrator
    Company Size: 100 - 499
    Ease 5 out of 5 stars
    Features 5 out of 5 stars
    Pricing 4 out of 5 stars
    Probability You Would Recommend? 9 out of 10

    "Compares right up to Opus 5.5 and Astra"

    5 out of 5 stars Posted 2026-10-01

    Pros: The biggest improvement for me is that it gets very close to Astra-level performance without Astra-level pricing. I can use it for serious coding, research, computer-use tasks, and long agent workflows without feeling like every run needs to be reserved for something mission-critical. The 1.05M-token context window is still a huge advantage. I can keep large repos, specs, logs, documentation, and a lot of prior agent work in context without constantly trimming things down. I also really like the new multi-agent support. Being able to let Sol delegate parts of a bigger task to subagents makes it much more useful for complicated projects where research, coding, testing, and analysis can happen in parallel.

    Cons: The main downside is that Astra is still the model I would reach for when I absolutely want maximum capability and cost is secondary. Sol also no longer supports the none or minimal reasoning settings, so it is less suited to truly lightweight work than Luna.

    Overall: Overall, GPT-6.1 Sol feels like the model I would use most often for serious work. It has the context, tools, reasoning, and agent capabilities I want, but the price is low enough that I can actually run it heavily instead of treating it like a special-occasion model.

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