GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
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About

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.

About

MiniMax M3.1 Flash is a hosted large language model for developers building coding assistants, AI agents, and software applications. Available through MiniMax’s API and MiniMax Code, it accepts text, image, and video input and generates text responses. Documented uses include code generation and debugging, multi-step reasoning, tool use, codebase and document analysis, and computer-use workflows. The API offers a context window of up to 1 million tokens, adjustable reasoning effort, and OpenAI-compatible and Anthropic-compatible request formats. Usage is billed by input, output, and cached-input tokens. MiniMax provides documentation for API integration and model use. M3.1 Flash is available through the hosted API, M Plan, and MiniMax Code; model weights are planned for a later release.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Software developers and organizations building coding assistants, AI agents, and applications that use a hosted language model.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$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 Version Not Supported
Free Trial Not Supported

Pricing

$0.15/1M input tokens
Input: $0.15 per 1 million tokens; output: $0.60 per 1 million tokens; cached input: $0.015 per 1 million tokens. Standard pay-as-you-go billing in USD, based on token usage.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

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.

Pros & Cons from Real Users

Pros

  • It feels noticeably faster than M3 while still being strong enough for coding, research, computer-use tasks, and longer agent workflows. The 1M-token context window is a big advantage too. I can keep large repos, long documents, screenshots, video context, and a lot of prior agent history in the same session without constantly trimming things down. The pricing is probably the best part. At $0.15 per million input tokens and $0.60 per million output tokens, I can run it heavily without worrying that every agent loop is getting expensive. I also like how much MiniMax improved the agent side. M3.1 Flash is aimed at real multi-step work across coding, enterprise automation, computer use, and even cybersecurity, rather than just fast chat responses.

Cons

  • The main downside is that reasoning is always enabled, so it is not quite as lightweight as a pure instant-response model for trivial tasks.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

MiniMax
Founded: 2022
China
www.minimax.io/blog/minimax-m31f

Alternatives

Alternatives

GPT-6 Luna

GPT-6 Luna

OpenAI
MiniMax M3

MiniMax M3

MiniMax
GPT-6 Sol

GPT-6 Sol

OpenAI
MiniMax M1

MiniMax M1

MiniMax

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

Hermes Agent Supported
OpenClaw Supported
Pi Agent Supported
Amazon Bedrock Supported
Brokk Supported
CSS Supported
ChatGPT Canvas Supported
ChatGPT Health Supported
ChatGPT Pro Supported
Claude Code Not Supported
Dart Supported
JavaScript Supported
MiniMax Agent Not Supported
NextDocs Supported
Ollama Not Supported
OpenCode Go Not Supported
Perplexity Computer Supported
Prism Supported
Vision Agents Not Supported
Visual Studio Code Supported

Integrations

Hermes Agent Supported
OpenClaw Supported
Pi Agent Supported
Amazon Bedrock Not Supported
Brokk Not Supported
CSS Not Supported
ChatGPT Canvas Not Supported
ChatGPT Health Not Supported
ChatGPT Pro Not Supported
Claude Code Supported
Dart Not Supported
JavaScript Not Supported
MiniMax Agent Supported
NextDocs Not Supported
Ollama Supported
OpenCode Go Supported
Perplexity Computer Not Supported
Prism Not Supported
Vision Agents Supported
Visual Studio Code Not Supported
Claim GPT-6.1 Sol and update features and information
Claim GPT-6.1 Sol and update features and information
Claim MiniMax M3.1 Flash and update features and information
Claim MiniMax M3.1 Flash and update features and information