Grok 4.7

Grok 4.7

SpaceXAI
Inkling

Inkling

Thinking Machines Lab
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+

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About

Grok 4.7 is a frontier AI model from SpaceXAI designed for coding, professional knowledge work, and longer-running agentic tasks. The model uses a larger base architecture than Grok 4.6 and was trained with an extended reinforcement learning process focused on difficult tasks that can take many hours to complete. Grok 4.7 improves self-verification, long-context management, conversational performance, and general knowledge work while adding native understanding of the Grok Bot harness. It is designed for software engineering, terminal-based work, document creation, presentations, legal tasks, electrical engineering, clinical reasoning, and other professional workflows. The model also introduces a new safeguard stack focused on jailbreak resistance, risky cybersecurity requests, and other dual-use domains while preserving utility for legitimate work. Grok 4.7 is available through Grok Build, Cursor, the Grok API, third-party coding harnesses, model routers, and cloud platforms.

About

Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.

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

Software developers, AI engineers, coding-agent builders, researchers, legal and technical professionals, and enterprises that need a high-capability model for complex coding, knowledge work, and long-running agentic tasks

Audience

AI developers, researchers, model fine-tuning teams, enterprise AI groups, agent builders, coding tool makers, multimodal AI teams, infrastructure providers, and organizations that need open-weights models for customization, long-context reasoning, vision, audio, tool use, and specialized 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

$2 per 1M tokens (input)
$2 per million input tokens and $6 per million output tokens
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 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

  • The biggest improvement is how much better it is at sticking with longer tasks. It feels more deliberate than earlier Grok versions, especially when I am working through debugging, repo-level changes, or something that takes multiple rounds of planning and verification. The coding performance is strong too. xAI reports 46.3% on CursorBench 4.0 versus 40.4% for Grok 4.6, and Terminal-Bench 4.0 jumps from 20.3% to 38.0%. That is the kind of improvement that actually matters for agentic coding rather than just short code-generation prompts. I also like the pricing. At $2 per million input tokens and $6 per million output tokens, it is much easier to justify for daily agent workflows than some of the more expensive frontier models.

Cons

  • The downside is that the higher reasoning modes can use a lot of tokens, so I would not automatically run xhigh on every task. For quick edits or simple coding questions, a faster model can still make more sense.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

SpaceXAI
Founded: 2023
United States
grok.com

Company Information

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/

Alternatives

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Grok 4.5

Grok 4.5

SpaceXAI
Inkling-Small

Inkling-Small

Thinking Machines Lab
Grok 4.6

Grok 4.6

SpaceXAI
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

CSS
Convex
Grok Build
Grok Imagine Image 2.0
HTML
Hermes Agent
Java
Julius AI
Microsoft Excel
Model Context Protocol (MCP)
Objective-C
OpenClaw
Python
R
Rust
Solidity
SuperGrok
Swift
Tinker
YAML

Integrations

CSS
Convex
Grok Build
Grok Imagine Image 2.0
HTML
Hermes Agent
Java
Julius AI
Microsoft Excel
Model Context Protocol (MCP)
Objective-C
OpenClaw
Python
R
Rust
Solidity
SuperGrok
Swift
Tinker
YAML
Claim Grok 4.7 and update features and information
Claim Grok 4.7 and update features and information
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