Grok

Grok

Usage Based

SpaceXAI's models with real-time X data, from the Grok app to the API.

LLM
Proprietary

Published 29 May 2026 · Last updated 27 September 2026

Scores

Popularity3/5

X platform integration gives Grok massive consumer reach, but the developer API ecosystem is smaller than OpenAI or Anthropic. Growing fast but still behind in GitHub integrations, third-party tooling, and community resources.

Learning Curve2/5

The xAI API is OpenAI SDK-compatible — developers who know the OpenAI messages format only need to change the base URL and API key. Documentation is clear and concise.

Flexibility3/5

Strong model range (mini to heavy), reasoning modes, tool use, vision, and image generation. Real-time X data access is a flexible differentiator for many use cases. However, no fine-tuning, no multi-cloud hosting, and per-call tool fees add friction.

Performance4/5

Grok 4 and Grok 4 Heavy are competitive at the frontier on reasoning and coding benchmarks. Grok 3 Mini Reasoning (high) punches above its price point. The 2M-token context window on Grok 4.1 Fast is industry-leading. Slightly behind Claude Opus 4 and GPT-4o on some evals as of May 2026.

Portability2/5

Proprietary model accessed exclusively via the xAI API (api.x.ai). Not available on AWS Bedrock, Google Vertex, or Azure. OpenAI SDK compatibility reduces code-level lock-in, but the models themselves cannot be self-hosted or migrated to another provider.

About Grok

Grok is the family of large language models, and the assistant built on them, from SpaceXAI, the AI division SpaceX formed from xAI after acquiring it in February 2026. It is available through the API at api.x.ai, grok.com, the Grok apps, and X. The API flagship is Grok 4.7, a reasoning model with a 500K-token context window and selectable reasoning effort up to an extra-high setting. Grok 4.3 offers a 1M-token context at a lower price, Grok Build 0.1 is a lighter coding-focused model, and earlier 4.x releases stay available for existing integrations.

Grok's distinguishing feature is real-time X data: its models can search posts on X as well as the web, and DeepSearch runs multi-step research over both. The platform also covers Grok Imagine for image and video generation with native 1080p video, speech-to-text and speech-to-speech voice models, and Grok Bot, a persistent assistant for messaging, approvals, and workflow automation. The API is OpenAI-compatible, so existing SDKs work by changing the base URL.

API pricing is per token, with rates that double for prompts above 200K tokens, separate per-call fees for built-in tools such as web search, X search, and code execution, a discounted batch API, and a premium priority tier. Consumer access runs from a limited free tier through X Premium and the SuperGrok plans up to SuperGrok Heavy, which adds the largest agent team and the highest limits, plus a per-seat business plan. SpaceXAI has said Grok 5 is in training but has not given a release date.

Key Features

  • Grok 4.7 flagship: 500K context and selectable reasoning effort up to xhigh
  • Grok 4.3 with 1M context at a lower price; Grok Build 0.1 for coding
  • Real-time X search alongside web search, plus DeepSearch for multi-step research
  • Grok Imagine: image generation and native 1080p video from text or images
  • Speech-to-text and speech-to-speech voice models
  • Grok Bot for messaging, approvals, and workflow automation
  • OpenAI-compatible API with batch and priority processing
  • Consumer plans from free to SuperGrok Heavy, plus per-seat business plans

Pros

  • Real-time X data is a unique advantage for social, news, and trend-driven use cases
  • OpenAI SDK compatibility makes evaluation and migration straightforward
  • One platform covers text, image and video generation, and voice
  • Grok 4.3's 1M-token context handles very large documents at a lower price
  • X distribution gives Grok a large built-in user base
  • Selectable reasoning effort lets you trade cost against depth per request

Cons

  • Smaller developer ecosystem than OpenAI or Anthropic, with fewer third-party integrations
  • Rates double above 200K tokens and built-in tools add per-call fees, which complicates cost estimates
  • The newest models sometimes reach the consumer apps before the API
  • Looser content policies can be a compliance concern for enterprises
  • No fine-tuning through the API
  • Frequent point releases (4.5, 4.6, 4.7 within three months) make model pinning a chore

Grok Pricing

Usage Based
Free (grok.com)Free
  • · Limited chat access
  • · Image and video generation limited or unavailable
X Premium$8/monthly
  • · Basic Grok access bundled with X Premium
  • · Lower usage limits than the SuperGrok plans
SuperGrok Lite$10/monthly
  • · Entry-level Grok subscription with limited video generation
  • · About $100 a year billed annually
SuperGrok$30/monthly
  • · Standard Grok access with higher usage limits
  • · About $300 a year billed annually
SuperGrok Business$30/monthly
  • · Per seat per month
  • · Business plan for teams
X Premium+$40/monthly
  • · Full X Premium+ bundle with expanded Grok access
SuperGrok Plus$100/monthly
  • · 1080p video generation
  • · Higher limits across chat, image, voice, and coding
  • · About $1,000 a year billed annually
SuperGrok Heavy$300/monthly
  • · Largest agent team and the highest rate limits
  • · Includes X Premium+ once an X account is connected
  • · About $3,000 a year billed annually
API — Grok 4.7Contact sales
  • · $2/M input, $6/M output under 200K tokens; $0.50/M cached input
  • · $4/M input, $12/M output above 200K tokens
  • · 500K context, reasoning effort up to xhigh
API — Grok Build 0.1Contact sales
  • · $1/M input, $2/M output under 200K tokens; doubles above
  • · Coding-focused, 256K context
API — Grok 4.5 and 4.6Contact sales
  • · $2/M input, $6/M output under 200K tokens; doubles above
  • · 500K context; previous releases, still available
API — Grok 4.3Contact sales
  • · $1.25/M input, $2.50/M output under 200K tokens; doubles above
  • · 1M context

Tech Stacks with Grok

Cursor Dev Stack

Developer

Cursor as both the editor and the coding agent, with Grok as the default model and Claude, OpenAI, or Gemini available from the same model picker, plus your pick of GitHub or GitLab for version control.

LLM:
Version Control:
Coding Agent add-on:
Code Review add-on:
CI/CD add-on:
Containerization add-on:

Devin Dev Stack

Developer

Devin Desktop as the editor and agent manager, with Devin Cloud for work that keeps going without your machine, Claude as the default model and OpenAI, Gemini, or Grok in the same picker, plus your pick of GitHub or GitLab for version control.

LLM:
Version Control:
Coding Agent add-on:
Code Review add-on:
CI/CD add-on:
Containerization add-on:

Orca Dev Stack

Developer

Orca runs several coding agents side by side, each in its own git worktree, with your pick of agents and models underneath and GitHub or GitLab for version control.

Coding Agent:
LLM:
Version Control:
Server add-on:
Remote Access add-on:
Code Review add-on:
CI/CD add-on:

Tools Related to Grok

Alternatives to Grok(4)

Grok and OpenAI are proprietary LLM alternatives — Grok is OpenAI SDK-compatible (drop-in base URL swap) and adds real-time X data access, making it a straightforward alternative to evaluate.

Grok and Google Gemini are proprietary LLM alternatives — Grok uniquely integrates X/Twitter real-time data while Gemini leads on context window length and multimodal breadth.

Grok and Claude are proprietary LLM alternatives — Grok offers unique real-time X data access, while Claude is preferred for enterprise and safety-conscious deployments.

Muse Spark and Grok are the newer challengers among proprietary models, each tied to a social platform: Muse Spark powers Meta AI across WhatsApp and Instagram, while Grok draws on real-time X data. Both expose OpenAI-compatible APIs.

Tags

Web

Details

Maintained
Yes