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Description

Grok 4.6 is an advanced xAI model built for long-running agents, coding, knowledge work, interactive applications, and visual project creation. It improves on Grok 4.5 with a focus on staying with complex tasks across many steps, whether the user is researching a topic, analyzing information, working across a codebase, or building a polished application. The model was trained through a longer supplemental run that used curated model-generated reasoning data, advanced technical concepts, engineering data, and an improved training recipe. Grok 4.6 was also trained with SFT and RL across domains such as STEM, software engineering, knowledge work, kernel optimization, web development, computer-aided design, and agentic coding. It is designed to turn ambitious ideas into working projects by researching unfamiliar domains, defining application structure, building core interactions, and iterating through feedback. The model shows stronger first passes on visual and interactive projects, helping users establish structure and visual language more quickly. Grok 4.6 also demonstrates more self-testing and verification during longer trajectories. It is available through Cursor, Grok Build, the xAI API, OpenRouter, Vercel, Cloudflare, and other partners, with pricing starting at $2 per million input tokens and $6 per million output tokens. By combining frontier reasoning, agentic coding, long-running task execution, visual project generation, API access, and broad developer availability, Grok 4.6 helps builders move from idea to working software faster.

Description

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hermes Agent Yes 
OpenClaw Yes 
Python Yes 
.NET Yes 
C# Yes 
C++ Yes 
ClinePass No 
Dart Yes 
Grok Yes 
Grok Build Yes 
Grok Imagine Image 2.0 Yes 
Hugging Face No 
Odysseus No 
Ollama No 
Qwen Studio No 
R Yes 
Ruby Yes 
SQL Yes 
Solidity Yes 
XML Yes 

Integrations

Hermes Agent Yes 
OpenClaw Yes 
Python Yes 
.NET No 
C# No 
C++ No 
ClinePass Yes 
Dart No 
Grok No 
Grok Build No 
Grok Imagine Image 2.0 No 
Hugging Face Yes 
Odysseus Yes 
Ollama Yes 
Qwen Studio Yes 
R No 
Ruby No 
SQL No 
Solidity No 
XML No 

Pricing Details

$2 per 1M tokens (input)
$2 per million input tokens and $6 per million output tokens
Free Trial No 
Free Version No 

Pricing Details

$2 per 1M (input)
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

SpaceXAI

Founded

2023

Country

United States

Website

grok.com

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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