GPT-6

GPT-6

OpenAI
+
+

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About

DeepSeek-V4-Pro is a large-scale Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, and long-context understanding. It features 1.6 trillion total parameters with 49 billion activated parameters, enabling high performance while maintaining efficiency. The model supports an exceptionally large context window of up to one million tokens, allowing it to process extensive documents and workflows. It uses a hybrid attention architecture to optimize long-context performance and reduce computational cost. DeepSeek-V4-Pro is trained on over 32 trillion tokens, improving its knowledge and reasoning capabilities. It also includes advanced optimization techniques for stability and faster convergence during training. The model supports multiple reasoning modes, allowing users to balance speed and accuracy based on their needs. Overall, it provides a powerful open-source solution for complex AI tasks and large-scale applications.

About

GPT-6 is an upcoming OpenAI model expected to represent the next major generation of the GPT model family. While OpenAI has not yet published an official GPT-6 launch page, model card, API ID, pricing, benchmark report, or availability timeline, GPT-6 is likely to build on the direction of the current GPT-5.6 family. As an upcoming model, GPT-6 would be expected to advance reasoning, coding, multimodal understanding, agentic workflows, computer use, and professional knowledge work. It may also extend OpenAI’s work on safer deployment, stronger evaluation, and more capable enterprise and developer tools. Teams should treat GPT-6 as a future model rather than a currently available product until OpenAI releases official documentation. Built for developers, enterprises, researchers, and AI power users, GPT-6 is expected to support the next wave of advanced AI applications once publicly released.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers, developers, and enterprises seeking a powerful open-source language model for large-scale reasoning, coding, and long-context AI applications

Audience

Developers, AI agent builders, enterprise AI teams, software engineering teams, researchers, data teams, automation teams, product teams, and AI power users tracking upcoming OpenAI models for reasoning, coding, multimodal AI, tool use, computer use, long-context workflows, enterprise automation, and production AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.435 per 1M tokens (input)
$0.435 per 1 million input tokens (cache miss), $0.003625 per 1 million input tokens (cache hit), and $0.87 per 1 million output tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • DeepSeek-V4-Pro is one of those models I keep coming back to because it handles serious work without feeling ridiculously expensive. For coding, repo analysis, long debugging threads, and agent-style workflows, the 1M-token context window is a huge advantage. I also like that it feels strong across both reasoning and implementation. I can use it to think through architecture, explain a messy bug, generate a fix, write tests, and then sanity-check the tradeoffs without constantly switching models. The Pro-Max reasoning mode is especially useful when I need it to slow down and really work through something. It is not the mode I would use for every quick answer, but for hard technical problems, it gives the model a lot more room to reason. The open-weight angle is a big plus too. As someone who uses it heavily, I like having more flexibility than a purely closed API model gives me.

Cons

  • It is still not something I would run on autopilot. For production code, I always review diffs, run tests, and check edge cases because even strong models can make confident mistakes. It can also be overkill for simple tasks. If I just need a quick explanation, small script, or lightweight edit, DeepSeek-V4-Flash may be the better fit. The size is another consideration. Open weights are great, but self-hosting a 1.6T-parameter MoE model is not casual infrastructure.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

OpenAI
Founded: 2015
United States
openai.com

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Categories

Categories

Integrations

.NET
Bash
C#
CSS
Go
HTML
Kotlin
Kubernetes
OpenClaw
PHP
PowerShell
Rust
SQL
Solidity
Swift
TypeScript
Vercel AI Gateway
XML
YAML
ZooClaw

Integrations

.NET
Bash
C#
CSS
Go
HTML
Kotlin
Kubernetes
OpenClaw
PHP
PowerShell
Rust
SQL
Solidity
Swift
TypeScript
Vercel AI Gateway
XML
YAML
ZooClaw
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