GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Mistral Large 4

Mistral Large 4

Mistral AI
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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

Mistral Large 4 is a general-purpose multimodal language model available through Mistral’s hosted inference API. It combines instruction following, reasoning and agentic capabilities, and accepts image and text inputs. Developers can use it for chat completion, structured outputs, function calling, document question answering, tool-assisted workflows and other application features. Its documented use cases include conversational assistants, coding and software engineering agents, cybersecurity analysis, finance and legal workflows, scientific research, data extraction, summarization, and analysis of documents, charts and images. Mistral Large 4 is designed for developers, researchers, businesses and public-sector teams building AI-powered applications across industries such as engineering, manufacturing, finance, logistics and science.

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

Developers, researchers, businesses, and public-sector teams building AI applications and workflows, including work in engineering, manufacturing, finance, cybersecurity, and science.

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

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

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

Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 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

  • Mistral Large 4 is a big improvement over previous Mistral models. I am impressed with its coding, reasoning, and ability to handle longer, more complicated tasks without losing track of the instructions. The multimodal capabilities are also quite good, especially when working with documents, charts, and images.

Cons

  • The model is powerful, but it isn't as consistently reliable as the very best closed models on difficult reasoning tasks. I occasionally had to correct or re-prompt it when an answer sounded confident but missed an important detail. It's also an enormous model, so running the open weights yourself will require substantial hardware.

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

Mistral AI
Founded: 2023
France
docs.mistral.ai/models/mistral-large-4-0

Alternatives

Alternatives

GPT-6 Astra

GPT-6 Astra

OpenAI
Claude Opus 5.5

Claude Opus 5.5

Anthropic
GPT-6 Luna

GPT-6 Luna

OpenAI
Mistral Large 2

Mistral Large 2

Mistral AI
GPT-6 Sol

GPT-6 Sol

OpenAI
Mistral Large 3

Mistral Large 3

Mistral AI

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

.NET Supported
CSS Supported
Charlie Supported
Codex CLI Supported
Codex Security Supported
Dessix Supported
GPT-5.1-Codex-Max Supported
GPT-5.5 Thinking Supported
HTML Supported
JetBrains Junie Supported
Kubernetes Supported
Lovable Supported
Microsoft 365 Supported
Microsoft Foundry Supported
Objective-C Supported
OpenClaw Supported
PHP Supported
Perplexity Pro Supported
Simtheory Supported
Yonoo Supported

Integrations

.NET Not Supported
CSS Not Supported
Charlie Not Supported
Codex CLI Not Supported
Codex Security Not Supported
Dessix Not Supported
GPT-5.1-Codex-Max Not Supported
GPT-5.5 Thinking Not Supported
HTML Not Supported
JetBrains Junie Not Supported
Kubernetes Not Supported
Lovable Not Supported
Microsoft 365 Not Supported
Microsoft Foundry Not Supported
Objective-C Not Supported
OpenClaw Not Supported
PHP Not Supported
Perplexity Pro Not Supported
Simtheory Not Supported
Yonoo Not Supported
Claim GPT-6.1 Sol and update features and information
Claim GPT-6.1 Sol and update features and information
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