OpenCraft AI vs Grok: Comparison & Pricing (2026)

Updated October 26, 2026 | 12 min read

Grok is the assistant people reach for when they want an AI that is wired into X and moves fast. It is also one of the more recent entrants, so its documentation is younger than ChatGPT’s or Claude’s.

That makes a careful comparison more useful, not less. This page documents what Grok actually offers as of October 2026, field by field, and where OpenCraft AI fits against it.

Grok is a single-vendor assistant from xAI (now SpaceX Super Intelligence). It runs only xAI models. OpenCraft AI is a multi-model platform: open-weight models from several providers, execution in an isolated sandbox, and project-level memory.

Every fact was checked against provider documentation on October 26, 2026.

OpenCraft AI vs Grok: Quick Answer

Grok: frontier-class closed models from one vendor, native to X, and a bundled subscription (Grok plus Cursor plus X).
OpenCraft AI: frontier-class open-weight models from multiple providers, automatic failover, sandboxed execution, and cross-session project memory.
Pricing is the opposite model. Grok is subscription with a weekly usage pool. OpenCraft AI is pay-as-you-go with no rate limits.
Neither is a general upgrade of the other. The sections below show where each fits.

What Grok and OpenCraft AI Actually Are

Grok (xAI)

A general-purpose assistant and agent platform from xAI (SpaceX Super Intelligence). It runs only xAI models.

It ships as the X app (iOS, Android, web), grok.com, the xAI API, and Grok in X. Grok Build covers terminal coding. Grok Bot covers persistent cloud teammates.

OpenCraft AI

A multi-model agent platform from OpenCraft AI. The in-product assistant is called Ocai. It runs open-weight models from multiple providers.

You choose the model per request, or the platform fails over between providers automatically. Work runs in an isolated cloud sandbox.

The product has two surfaces: a web app and a desktop app. The desktop app is documented as a taskbar-resident client, so the assistant is available without a browser tab.

Reference Profiles: Grok and OpenCraft AI

Both profiles use the same fields in the same order, so you can compare them line by line.

Grok

Company: xAI (SpaceX Super Intelligence)
Product: Grok
Primary category: General-purpose AI assistant and AI agent platform

Models:

Single provider: xAI only (as of October 26, 2026).
Current flagship: Grok 4.7 (agentic tool calling, configurable reasoning).
Predecessors: Grok 4.5 (July 2026), Grok 4.20 (March 2026), Grok 4.1 Fast (November 2025).
Grok 4.7 documents 500K-token context, $2/$6 per 1M tokens, knowledge cutoff May 2026.
Specialized: Grok Imagine Image 2.0 (image), Grok Imagine Video 1.5 (video), Grok Voice API (STS, TTS, STT).
Users choose models manually in the app and API.
No automatic cross-model failover.
No third-party models.

Pricing:

X Subscription (launched October 12, 2026) unifies Grok, Cursor, and X in one plan.
Free $0.
Plus (entry paid tier).
Premium $30/mo (SuperGrok plus Cursor Pro plus X Premium+, 4x Plus usage).
Super $100/mo (15x Plus usage).
Ultra $200/mo (50x Grok usage, X checkmark, Grok Bot).
Teams from $30/seat.
API: Grok 4.7 $2/$6 per 1M tokens.
Weekly usage pool (June 2026): one shared pool across Chat, Imagine, Voice, Build, and API.
Extra Usage Credits from $5, expire one year after purchase, auto top-up available.

Context window & conversation context:

Grok 4.7 documents 500K-token context.
Projects provide workspace context.
No access to realtime events unless search tools are enabled.

Integrations:

Grok in X (native to the X platform).
Grok Bot: connectors, messaging, approvals, routines.
Web Search and X Search (server-side tools).
xAI API and Console.

Agent capabilities:

Grok 4.7: agentic tool calling, configurable reasoning.
Grok Bot: durable AI teammates on a persistent cloud computer (messaging, approvals, connectors, routines).
Grok Build: terminal coding agent.
DeepSearch: multi-step research agent.
Cloud agents and automation in the X Subscription.

Memory:

Not documented at time of verification.

File handling:

Uploads on web, iOS, and Android.
Types: PDF, DOCX, TXT, CSV, XLSX, PPTX, HTML, XML, JSON, MD, LaTeX, ODT, RTF, code, images, audio, video.
Up to about 100 files on web, 20 on Android.
Most files up to 150MB per file.

Research:

Web access: Web Search and X Search (server-side tools).
Multi-source research: DeepSearch (UI toggle, multi-step).
Citation generation: DeepSearch shows reasoning and sources.
Deep research: DeepSearch turns Grok into a research agent.
Research outputs: synthesized answers with sources.

Coding:

Grok Build: terminal coding agent (replaces Grok Studio).
Grok 4.7 positioned for code (“for code and everything else”).
Grok 4.5 built for coding and agentic tasks.

Automation:

Cloud agents and automation in the X Subscription.
Grok Bot routines (recurring).
Weekly usage pool across products.

Privacy & data use:

Per xAI’s published privacy policy (effective November 4, 2023, still current at time of verification).
“To train our models, but only with the Usage Data you voluntarily choose to provide to us.”
Does not train on Account, Payment, Contact, or Technical Usage Data.
Usage Data means inputs, uploaded files, and feedback.

Deployment:

X app (iOS, Android, web), grok.com (web).
xAI API and Console.
Grok in X.
Enterprise: xAI for Enterprise.

Ideal use cases:

Realtime research on the X platform (X Search).
Agentic coding (Grok Build).
Image and video generation (Grok Imagine).
Multi-step research (DeepSearch).
Bundled access (Grok plus Cursor plus X in one subscription).

Limitations:

Single provider, no cross-provider failover.
Memory not documented.
500K documented context (smaller than ChatGPT’s 1.05M and Claude’s 1M).
Tied to the X ecosystem for full value.
Fast model churn (4.1 Fast, 4.20, 4.5, 4.7 in under a year).
Consumer privacy: training on voluntarily provided Usage Data.

Last verified: October 26, 2026

OpenCraft AI

Company: OpenCraft AI
Product: OpenCraft AI (in-product assistant name: Ocai)
Primary category: Multi-model AI agent platform

Models:

Open-weight models from multiple providers (as of October 26, 2026).
Ocai Swift, Ocai Core, Ocai Ultra (OpenCraft’s own models).
Ocai Ultra is positioned as frontier-class deep reasoning in the product documentation.
DeepSeek v4 Pro.
Kimi K3 (documented as massive-context).
Product documentation also lists DeepSeek v4 Flash and Z-ai/GLM-5.2.
Any specific open model on request.
Canonical current list: opencraftai.com/models.
User selection per request.
Automatic failover between providers.

Pricing:

Pay-as-you-go credits only.
No subscription, no tiers.
$1 = 10 credits (also INR, RUB, CNY at fixed rates).
100 free credits to start, no card required.
No rate limits.
Credits never expire.
Rates in credits per 1M tokens (input/cached/output).
Ocai Swift 0.5/0.25/4.0.
Ocai Core 0.786/0.393/1.572.
Ocai Ultra 5.0/2.5/31.5.
DeepSeek v4 Pro 6.6/3.3/19.8.
Kimi K3 26/13/130.
If the balance runs out, usage pauses until top-up.
No retroactive charges.

Context window & conversation context:

Per-model context window numbers are not published as documented figures.
Kimi K3 is documented as having a “massive context window.”
Long-running context is sustained at the product level.
Named projects carry their own preferences, memory, files, and conventions.
Collections provide persistent file storage.
File storage is git-versioned.
Cross-session memory carries decisions and context forward.

Integrations:

File-based integration rather than SaaS connectors.
Uploads: PDF, Word, Excel, CSV, JSON, PowerPoint, HTML, code, images.
Web pages and YouTube (transcripts).
Cloud Files for permanent storage.
Workspace export: PDF, Word, HTML, plain text.
Shareable read-only chat links.
No documented native SaaS connectors (Google Drive, Slack, Microsoft 365) at time of verification.

Agent capabilities:

Isolated sandbox: code execution (Python, shell), file creation and editing.
Git versioning on files.
Subagents: one request decomposes into parallel subtasks.
Agentic execution: goal hand-off, end-to-end completion.
Safe to run unattended.
Adaptive model routing: on error or stall, the request fails over to the next provider.

Memory:

Cross-session: narrative journal of what happened and what was decided.
Semantic recall across past conversations (not keyword matching).
Preferences: global and per-project.
Decisions and project context carried forward.
Per-project memory isolation.

File handling:

Uploads: PDF, Word, Excel, CSV, JSON, PowerPoint, HTML, code, images.
Collections: grouped, reusable file hubs.
File versioning: every save is a git commit, full history.
Shareable file URLs.
Workspace: editable documents with AI editing, export to PDF/Word/HTML/text.

Research:

Web access: Assistant mode, real-time web search.
Multi-source research: Deep Research mode.
Citation generation: Deep Research delivers cited reports.
Deep research: Deep Research (autonomous).
Deep Dive (fast root-cause analysis).
Source controls: File Assistant mode restricts the assistant to uploaded documents only.
Research outputs: cited reports in chat, pushable to the workspace as exportable documents.

Coding:

Sandboxed execution: Python, shell, interpreted languages.
Data science stack: pandas, numpy, scipy.
Build, test, and debug in real time.
Visualizations: matplotlib, plotly.
Read, write, and organize files.
Execution happens in the cloud sandbox, not on the user’s machine.

Automation:

Unattended long-running execution: “run it overnight,” “keep working until it’s done.”
Autonomous mode for delegated goals.
Scheduled/recurring (cron-style) tasks: not documented at time of verification.

Privacy & data use:

Per the provider’s public statements (October 26, 2026).
“Your conversations never train models. Zero training on your information.”
SOC 2 compliance and encryption claimed.
“Complete data control with clear deletion policies.”
A standalone privacy policy document was not located on opencraftai.com at time of verification.
Statements above are from the product page and product documentation.

Deployment:

Cloud web app (opencraftai.com).
Desktop app: opencraftai.com/download, documented as a taskbar-resident client.
No documented public API, mobile app, or self-hosted option at time of verification.

Ideal use cases:

Multi-step professional workflows.
Multi-model tasks where failover matters.
Autonomous research that ends in a cited report.
File/code-based work: analysis, document processing, code execution.
Workflows requiring persistent project context across sessions.

Limitations:

No documented public API or self-hosted deployment.
No documented native SaaS connectors.
Integration is file-based.
No documented scheduled/recurring automation.
Per-model context window numbers not published as documented figures.
Lineup is open-weight: no closed frontier models (Claude, GPT, Gemini).
Ocai Ultra is the frontier-class option in the lineup.
Younger product with a smaller third-party ecosystem than Claude, ChatGPT, or Gemini.

Last verified: October 26, 2026

OpenCraft AI vs Grok: Side-by-Side

	Grok	OpenCraft AI
Type	General-purpose assistant and agent platform	Multi-model agent platform
Models	xAI only (Grok 4.7, 4.5, 4.20, 4.1 Fast)	Multi-provider open-weight (Ocai Swift/Core/Ultra, DeepSeek v4 Pro, Kimi K3, + any open model)
Frontier-class model	Yes (closed)	Yes (open-weight, Ocai Ultra)
Model failover	No	Yes, automatic
Documented context window	500K tokens (Grok 4.7)	Not published per model (Kimi K3: “massive”); project workspace sustains long work
Runs code	Yes (Grok Build terminal)	Yes (isolated cloud sandbox)
Creates files	Yes (in-app)	Yes (versioned, shareable)
Cross-session memory	Not documented	Yes, project-level (semantic recall, per-project)
Subagents	No (Grok Bot teammates)	Yes (parallel, per request)
Unattended execution	Via Grok Bot / cloud agents	Yes, documented
Scheduled/recurring tasks	Yes (Grok Bot routines, cloud agents)	Not documented
Native SaaS connectors	Yes (Grok in X, Grok Bot connectors)	No (file-based)
Rate limits	Yes (weekly usage pool)	No (credit balance only)
Pricing model	Subscription (X Subscription) + API per-token	Pay-as-you-go credits only
API	Yes	Not documented
Desktop app	No (X app + grok.com)	Yes (taskbar-resident)
Mobile apps	Yes (iOS, Android)	Not documented
Deployment	X app, web, API, Grok in X, Enterprise	Cloud web app + desktop app

OpenCraft AI vs Grok: Field by Field

Models: closed single-vendor lineup vs open multi-provider lineup

Grok’s lineup is closed and single-vendor. Grok 4.7 is xAI’s flagship, built for code and agentic work with configurable reasoning.

Grok 4.5 and Grok 4.20 are the recent predecessors. Grok 4.1 Fast covers speed.

You choose the model, and the product does not route between models for you. If Grok 4.7 has a bad day on your task, you wait for xAI to fix it or ship a new model.

OpenCraft AI’s lineup is open-weight and multi-provider. It runs its own Ocai line (Swift, Core, Ultra), DeepSeek v4 Pro, and Kimi K3.

Any specific open model is available on request. Ocai Ultra is positioned as frontier-class deep reasoning in the product documentation.

So both lineups reach the frontier tier. The difference is closed versus open, single-vendor versus multi-provider, and what happens when a model stalls. In OpenCraft’s chain, a stalled or errored model hands the request to the next provider, and the task continues.

That trade runs both ways. A closed single-vendor lineup means one deprecation policy, one pricing page, and one point of failure. A multi-provider open lineup means you can name the model you want, and no single vendor gates your workflow.

AI model sovereignty is the longer version of that argument. xAI’s own rapid model churn (4.1 Fast, 4.20, 4.5, 4.7 in under a year) is the example. If you already juggle model subscriptions, how to use multiple AI models without micromanaging any of them covers the setup.

Context window & conversation context

Grok documents 500K-token context on Grok 4.7 (as of October 26, 2026). That is smaller than ChatGPT’s 1.05M and Claude’s 1M. Projects add workspace context on top.

OpenCraft AI does not publish per-model window numbers. Kimi K3 is documented as having a massive context window. The product-level mechanism for long work is the project workspace: named projects with their own preferences, memory, and files; collections as persistent storage; git-versioned files; and cross-session recall.

The two approaches solve different problems. A documented 500K window means Grok can hold a large document or conversation in one interaction. Whether the work survives the interaction is a separate question.

Grok’s answer is Projects. OpenCraft’s answer is the project workspace.

Each side has a verifiable gap. For Grok, the documented window is the smallest of the three major products in this series.

For OpenCraft, you cannot verify from published documentation that a single large document fits in one request. If you have felt context window amnesia in a long task, persistence is the fix, and both products now address it in different ways.

Agent capabilities

Both products execute work. The comparison is where each execution surface is strongest.

Grok’s agent surface is native to X. Grok Bot gives you durable AI teammates on a persistent cloud computer, with messaging, approvals, connectors, and routines.

Grok Build is a terminal coding agent. DeepSearch turns Grok into a research agent. Cloud agents and automation come with the X Subscription.

OpenCraft AI’s agent surface is strongest where the work is a mix of files, analysis, and deliverables. The sandbox runs code and creates files, git-versioned. One request can spawn parallel subagents, so research, analysis, and drafting happen at the same time.

Model failover is built in, so a long task does not die because one provider timed out.

The practical split: if your work lives on X and you want persistent cloud teammates with routines, Grok Bot is the more direct tool. If the work is a batch of files in and a deliverable out, and you want parallel subagents and failover, OpenCraft’s sandbox is built for that.

It keeps running while you do something else. Which AI is better than ChatGPT? runs ten tools through this question.

Memory

Grok’s memory is not documented at time of verification. Projects provide workspace context, but there is no published cross-session memory feature in the documentation we checked.

OpenCraft AI carries work context across sessions at the project level. A journal records what happened and what was decided. Recall is semantic across past conversations.

Preferences layer globally and per-project. Projects are isolated from each other, so switching does not mix context.

This is a clear, documented difference. OpenCraft documents cross-session memory. Grok does not (in the documentation available at time of verification).

If your value is in work that compounds across sessions, the documented feature is the one that matters. We wrote about why retrieval was never the hard part in agent memory.

Research

Grok: Web Search and X Search (server-side tools), DeepSearch for multi-step research (UI toggle), and citations throughout. X Search is the differentiator: it reaches realtime events on X, which no other assistant in this series can do natively.

OpenCraft AI: four modes. Assistant for real-time web search. Deep Research for autonomous multi-source investigation with cited reports.

File Assistant to lock the assistant onto your documents only, with no web access. Deep Dive for fast root-cause analysis.

Two details matter. File Assistant mode is a source-control feature: when the answer has to come from your files and nothing else, you can enforce that. And Deep Research outputs can be pushed to the workspace as exportable documents, so a research run ends in a file, not a chat thread.

Grok’s edge is realtime X data. For file-grounded research where the sources are your own documents, OpenCraft’s mode structure fits better. Claude vs ChatGPT is the companion comparison for the closed-model side of this trade.

Coding

Grok Build is xAI’s dedicated coding agent. It runs in the terminal (replacing Grok Studio). Grok 4.7 is positioned for code (“for code and everything else”), and Grok 4.5 was built for coding and agentic tasks.

If your work is code in repos and you live in a terminal, this is the more direct tool.

OpenCraft AI executes code in a cloud sandbox: Python, shell, the data science stack, build/test/debug in real time, visualizations, and git versioning on everything it writes. It does not touch your local machine.

For data work, scripts, analysis pipelines, and code-adjacent deliverables, the sandbox covers the full cycle: run, test, debug, visualize, and save. For day-to-day repo development, it complements a tool like Grok Build rather than replacing it.

Automation

This is where the two products diverge clearly.

Grok documents cloud agents and automation in the X Subscription, and Grok Bot routines for recurring work. If you want “run this on a schedule,” Grok is the one that documents it.

OpenCraft AI documents unattended long-running execution: “run it overnight” and “keep working until it’s done,” in a sandbox that cannot damage your system. Scheduled recurring tasks are not documented at time of verification.

So Grok wins the scheduled-recurring question on paper. OpenCraft wins the run-to-completion question. Neither is a cron scheduler in the developer sense.

Integrations

Grok’s integration surface is native to X. Grok in X is built in.

Grok Bot adds connectors, messaging, approvals, and routines. Web Search and X Search reach the web and X.

OpenCraft AI integrates through files: uploads (PDF, Word, Excel, CSV, JSON, PowerPoint, HTML, code, images), web pages, YouTube transcripts, collections, and Cloud Files. There are no documented native connectors to Google Drive, Slack, or Microsoft 365.

If your workflow lives on X, Grok is already there. If your workflow is file-based, OpenCraft’s file hub is the more direct fit.

Privacy & data use (factual, sourced)

Per xAI’s published privacy policy (effective November 4, 2023, still current at verification): models are trained “only with the Usage Data you voluntarily choose to provide to us.”

xAI does not train on Account, Payment, Contact, or Technical Usage Data. Usage Data means inputs, uploaded files, and feedback.

OpenCraft AI, per the provider’s public statements (October 26, 2026): “Your conversations never train models. Zero training on your information.” SOC 2 compliance and encryption are claimed, along with “complete data control with clear deletion policies.”

One caveat: we could not locate a standalone privacy policy document on opencraftai.com at time of verification. The statements above trace to the product page and product documentation.

The postures are different, and this is worth reading carefully. xAI’s policy states it trains on voluntarily provided Usage Data (your inputs, files, and feedback). OpenCraft states conversations never train models. Read each primary policy before deciding.

Pricing

Grok, as of October 26, 2026: the X Subscription unifies Grok, Cursor, and X. Free, Plus (entry paid), Premium $30/mo (4x Plus), Super $100/mo (15x Plus), Ultra $200/mo (50x Grok usage, Grok Bot), Teams from $30/seat.

The API is per-token (Grok 4.7 $2/$6 per 1M tokens). A weekly usage pool spans Chat, Imagine, Voice, Build, and API. Extra Usage Credits start at $5 and expire after one year.

OpenCraft AI, as of October 26, 2026: credits only. The rate is $1 = 10 credits, with per-model pricing in credits per 1M tokens (0.5 input on Ocai Swift to 26 on Kimi K3).

100 free credits to start, no card required. No rate limits, and credits never expire.

If the balance runs out, work pauses until a top-up. There are no retroactive charges.

The math depends on volume. Light users may pay less on Grok’s entry tiers.

Heavy users on Grok hit the weekly usage pool and buy Extra Usage Credits (which expire after a year) or upgrade. On pay-as-you-go, cost scales with actual usage, with no ceiling and no expiring credits.

Deployment

Grok: X app (iOS, Android, web), grok.com, the xAI API and Console, Grok in X, and xAI for Enterprise.

OpenCraft AI: a cloud web app and a desktop app. The desktop app is documented as a taskbar-resident client, so the assistant is available without a browser tab. No public API or self-hosted option is documented at time of verification.

Where Grok Wins Against OpenCraft AI

Realtime X data. X Search reaches live events on X, which no other assistant in this series can do natively.
Bundled subscription. Grok plus Cursor plus X in one plan (Premium $30/mo).
Image and video generation. Grok Imagine Image 2.0 and Video 1.5.
Agentic tool calling. Grok 4.7 is built for code and agentic work with configurable reasoning.
Persistent cloud teammates. Grok Bot with messaging, approvals, connectors, and routines.

Where OpenCraft AI Wins Against Grok

No rate limits. The only limit is the credit balance. No weekly usage pool, no expiring credits.
Multi-model failover. If a model stalls, the next provider in the chain takes over mid-task.
Frontier-class open-weight models. Ocai Ultra is positioned as frontier-class deep reasoning, with no single-vendor gate.
Documented cross-session memory. Project-level, with semantic recall and per-project isolation. Grok’s is not documented.
File-based execution with versioning. Code runs, files are created, every save is a git commit.
Parallel subagents. One request decomposes into parallel subtasks.
Unattended execution. Long tasks run overnight in an isolated sandbox.
Privacy posture. Conversations never train models, versus xAI training on voluntarily provided Usage Data.

Limitations: Grok and OpenCraft AI

Grok’s are documented by xAI itself. The documented context window (500K on Grok 4.7) is the smallest of the three major products in this series. Memory is not documented.

The lineup is single-provider, with no cross-provider failover. The model lineup has turned over fast (4.1 Fast, 4.20, 4.5, 4.7 in under a year), and full value is tied to the X ecosystem.

OpenCraft AI’s are documented in its own product pages and documentation. There is no public API or self-hosted option, no native SaaS connectors, and no documented scheduled automation.

Per-model context window numbers are not published. The lineup is open-weight, so it does not include closed frontier models (GPT, Claude, Gemini), though Ocai Ultra is positioned as frontier-class.

A younger product also means a smaller third-party ecosystem than Grok’s X integration.

Ideal Use Cases for Grok and OpenCraft AI

Grok: realtime research on the X platform (X Search). Agentic coding (Grok Build). Image and video generation (Grok Imagine).

Multi-step research (DeepSearch). Bundled access (Grok plus Cursor plus X in one subscription).

OpenCraft AI: multi-step professional workflows. Multi-model tasks where failover matters. Autonomous research that ends in a cited report.

File and code work: analysis, document processing, code execution, data visualization. Workflows that need persistent project context across sessions, where re-explaining context every conversation is the real cost.

OpenCraft AI vs Grok: FAQ

Is OpenCraft AI a Grok alternative?

It depends what you need Grok for. If you need xAI’s closed models specifically (Grok 4.7) or native X Search, no: OpenCraft AI runs open-weight models and does not include xAI’s models or X’s realtime data.

If you need frontier-class reasoning without a single-vendor dependency, Ocai Ultra is the frontier-class model in OpenCraft’s lineup. If you need what most people actually use Grok for (multi-step work, research, file handling, and not hitting a usage limit), that is what OpenCraft AI is built for.

Can OpenCraft AI use Grok models?

No. The model chain is open-weight models from multiple providers: Ocai Swift/Core/Ultra, DeepSeek v4 Pro, Kimi K3, and any specific open model on request.

xAI’s models are closed, so they are not in the chain. If you need Grok models specifically, use Grok or the xAI API.

Which is cheaper for heavy daily use?

Grok: $30 to $200 per month subscription with a weekly usage pool, or per-token API pricing. OpenCraft AI: per-credit pricing, no subscription, no rate limits.

Light users may pay less on Grok’s entry tiers. Heavy users on Grok hit the weekly pool and buy Extra Usage Credits (which expire after a year) or upgrade.

On pay-as-you-go, cost scales with actual usage, with no ceiling and no expiring credits.

Does OpenCraft AI have cross-session memory?

Yes, at the project level: a journal of decisions and progress, semantic recall across past conversations, and preferences that layer globally and per-project. Projects are isolated from each other, so switching context does not leak.

Grok’s memory is not documented at time of verification.

Is Grok private?

Per xAI’s published privacy policy: xAI trains its models “only with the Usage Data you voluntarily choose to provide,” which means inputs, uploaded files, and feedback. It does not train on Account, Payment, Contact, or Technical Usage Data.

The primary policy has the full terms.

Can I use both?

Yes. Grok for realtime X research, image and video generation, and bundled access. OpenCraft AI for file-heavy workflows, autonomous research, and work that outlives a single conversation.

They cover different surfaces of the same work.

References

Grok model lineup, context windows, API pricing: xAI Docs — Models
Grok consumer features, file uploads, usage pool: xAI Docs — Grok FAQ
Grok X Subscription (October 12, 2026): xAI
Grok privacy policy (effective November 4, 2023): xAI
Grok 4.7: xAI
Grok DeepSearch (February 19, 2025): xAI
OpenCraft AI product and security statements: opencraftai.com
OpenCraft AI pricing (scraped October 26, 2026): opencraftai.com/pricing
OpenCraft AI model list: opencraftai.com/models
OpenCraft AI desktop app: opencraftai.com/download

OpenCraft AI vs Grok:Comparison, Pricing, and Use Cases(2026)

OpenCraft AI vs Grok: Quick Answer