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xAI's real-time AI, wired directly into live web and X/Twitter data — a differentiated research and analysis assistant, now led by the Grok 4.7 flagship released in September 2026.
xAI's pricing page lists prices for Free, SuperGrok and SuperGrok Plus. SuperGrok Lite, SuperGrok Heavy and Business appear in its plan comparison without a listed price, and Enterprise is through sales.
Bundled inside X: Grok is also available inside X, alongside the direct SuperGrok plans.
API pricing (per xAI developer docs): the Grok 4.7 flagship is $2.00 per million input tokens and $6.00 per million output tokens (double for prompts over 200K tokens), with a 500K-token context window and configurable reasoning. The grok-4.20 models, including a multi-agent variant, are $1.25 and $2.50 with a 1M-token context window. Exact per-model rates and available models change over time — always confirm current figures in xAI's documentation before committing to volume.
Grok is the flagship product of xAI, the AI company Elon Musk announced in July 2023, which joined SpaceX in February 2026 and states its mission as "We build AI to understand the universe." What began on X has grown into a standalone assistant that competes head-to-head with OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini.
xAI has leaned into two differentiators: real-time access to X/Twitter data and live web search that is on by default in every conversation. That positioning — the assistant that always knows what happened this morning, this hour, or this minute — is the lens through which the rest of the product should be understood. For a buyer, the central question is "does my work benefit from an assistant that is wired into the live web and the world's largest public conversation stream?"
xAI iterates on its models quickly, and version numbers move faster than almost any competitor's. As of this review, xAI's developer documentation lists Grok 4.7, introduced on 21 September 2026, as the flagship: "our flagship model for code and everything else," with agentic tool calling, minimal hallucinations and configurable reasoning. On the API, Grok 4.7 carries a 500K-token context window and is priced at $2.00 per million input tokens and $6.00 per million output tokens.
Alongside the flagship, the grok-4.20 models (reasoning, non-reasoning and a multi-agent variant) and grok-4.3 cost $1.25 per million input tokens and $2.50 per million output tokens, with a 1M-token context window.
In the Grok apps, every conversation has access to live web search by default — not as a tool you switch on, but as a native capability the model reaches for automatically whenever it judges that current information is needed. Ask about a breaking news story, a share price, or the newest release of a framework, and Grok retrieves and synthesises current information in the same turn, without you having to prompt it to "search the web." On the API, current data requires enabling the Web Search or X Search tools.
More distinctively, Grok has live access to X (Twitter) data. In practice that means you can ask Grok to summarise what industry leaders are saying about a topic right now, gauge sentiment around a product launch, surface trending narratives in a specific sector, or run near-real-time competitive intelligence. For sales teams, PR and communications professionals, journalists, and market researchers, this is hard to replace. If your work lives and dies by what is being said publicly today, this single capability can justify the subscription on its own.
Grok 4.7 has a 500K-token context window on the API, enough to hold a substantial codebase, a long contract, or a sizeable collection of documents in a single conversation. The cheaper grok-4.20 and grok-4.3 models go to 1M tokens.
Grok's flagship exposes configurable reasoning — an extended "think" mode that lets the model spend more compute deliberating before it answers. Conceptually this mirrors the reasoning modes offered by OpenAI's and Anthropic's frontier models. Multi-agent mode takes this further by running several agents in parallel on the same task.
Grok Imagine generates images up to 2K resolution and text-to-video up to 15 seconds at 720p (1080p on SuperGrok Plus), and you can iterate on an image in the same thread where you are drafting the surrounding copy.
On the input side, image analysis (vision) lets you upload screenshots, documents, and photographs for the model to interpret, and voice mode enables natural spoken conversation on iOS and Android.
The xAI API offers a Responses API and a legacy Chat Completions API, which makes migrating an existing GPT integration low-friction. Per xAI's documentation, the Grok 4.7 flagship is priced at $2.00 per million input tokens and $6.00 per million output tokens, while the grok-4.20 line serves the cost-sensitive end at $1.25 and $2.50. The API supports streaming, structured outputs and image inputs.
For teams building applications that need current world knowledge, the combination of a large context window and Web Search and X Search tools in the same API is useful. A customer-support assistant that must know today's outage status, a monitoring tool that summarises live sentiment, or an internal research bot that should never answer from stale training data are all natural fits. The main caution is operational: because xAI retires and renames models on a rolling schedule, teams should pin to aliases, watch xAI's migration notices, and budget for periodic re-testing when a model is deprecated.
Grok is available as a dedicated iOS and Android app, as a web application at grok.com, and inside X. The mobile apps support voice mode, image generation, and the full feature set of whichever plan you hold, while the web app is the most comfortable surface for long research and analysis sessions. The flip side of this breadth is the product's biggest usability wrinkle: because Grok is reachable through direct subscriptions and through X bundles simultaneously, and because newer models roll out in stages, it is not always obvious which model, limits, or features a given entry point is serving on a given day.
This is the area where enterprise buyers should do the most diligence. xAI's pricing page lists SOC 2 Type I and II compliance, and for Enterprise it lists SSO and SCIM, data residency and custom rate limits. Grok Business and Grok Enterprise only launched at the end of December 2025, so the track record is short. Grok is best adopted with clear guardrails, and that regulated workflows may be better served by pairing it with a governance-first assistant.
Because so many buyers arrive at Grok asking "should I use this instead of ChatGPT?", it is worth stating the trade directly. ChatGPT wins on ecosystem and governance: a broader library of connectors and custom tools, a more mature enterprise product with the administrative controls large organisations expect, and a longer track record with procurement teams. Grok wins on freshness and reach: always-on live web and X data, and a multi-agent mode for the hardest problems. For most individual professionals the two are close on core chat quality, so the deciding factor is usually workflow — if your day depends on what is happening right now in public conversation and the news cycle, Grok pulls ahead; if it depends on deep integration into enterprise systems and airtight governance, ChatGPT does. Many teams end up running both, using Grok for live research and a governance-first assistant for regulated internal work.
Grok's live X data and web search suit real-time competitive intelligence. Track what competitors' customers are saying, monitor industry sentiment, and synthesise trend reports from live sources in a single conversation. Sales and marketing teams use it to surface account intelligence ahead of enterprise sales calls.
Legal, financial, and compliance teams use Grok's large context window to work through extended document sets — long contracts, filings, and audit trails — in a single session, then have Grok summarise, compare, and flag issues.
Multi-agent mode is aimed at the hardest problems: parallel agents tackle sub-problems, show their reasoning, and merge into one cited answer.
Journalists, PR teams, and communications professionals use Grok to track breaking developments in real time. Because web search and X data are always on, Grok surfaces stories as they emerge rather than hours later — supporting brief summaries, sentiment reads, and narrative mapping across a fast-moving news cycle.
OpenAI's market leader pairs strong general models with the broadest tool and connector ecosystem and a mature enterprise product. It lacks Grok's live X data but leads on governance and integrations — the natural comparison for most buyers weighing Grok.
Anthropic's assistant, with an established enterprise and compliance story. A candidate for regulated industries and writing-heavy work.
Gemini offers very large context windows, deep Google Workspace integration, and strong multi-modal capabilities. If your team lives in Google's ecosystem, it is a compelling alternative to Grok's real-time positioning.
Purpose-built for real-time research with cited sources, Perplexity is the closest competitor to Grok's live search. More focused on research workflows and citations, less on being a full general-purpose assistant.
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Grok's distinctive capability is live, first-party access to X/Twitter data, paired with always-on web search. For market researchers, PR professionals, journalists, and developers building applications that need current world knowledge, that is not a minor feature — it is a workflow-changing advantage that can justify the subscription on its own.
The standard SuperGrok plan is $30/month, and the grok-4.20 API models at $1.25 per million input tokens are a low-cost way to put a real-time-aware model into production. Where Grok falls short is enterprise track record: Grok Business and Enterprise are less than a year old, and the split between six direct tiers and Grok on X makes the lineup harder to navigate than it should be.
Our recommendation: Grok is close to essential for anyone whose work depends on current information, social intelligence, or fast live research. For regulated enterprise workflows where compliance and governance controls matter most, pair it with ChatGPT or Claude rather than replacing them outright. Always re-check the current model lineup and prices in xAI's own documentation before you commit to volume, because xAI iterates faster than almost anyone in the market.
Start free with Grok's real-time web and X search included. Upgrade to SuperGrok for Grok 4.7, higher limits, and image and video generation, or to SuperGrok Plus for 1080p video and priority access.
Grok has a free tier. xAI's pricing page lists SuperGrok at $30/month and SuperGrok Plus at $100/month; SuperGrok Lite, SuperGrok Heavy and Business are listed without a price, and Enterprise is through sales. Grok is also available inside X.
According to xAI's developer documentation, Grok 4.7, introduced on 21 September 2026, is the flagship model, with configurable reasoning, agentic tool calling and a 500K-token context window on the API. The grok-4.20 and grok-4.3 models are the lower-cost options, with a 1M-token context window.
Yes. Per xAI's developer documentation, the Grok 4.7 flagship is priced at $2.00 per million input tokens and $6.00 per million output tokens with a 500K-token context window, and the grok-4.20 models cost $1.25 and $2.50 with a 1M-token window. Real-time data requires enabling the Web Search or X Search tools.
Yes. SuperGrok includes image and video generation through Grok Imagine (images up to 2K, video up to 15 seconds), and SuperGrok Plus adds 1080p video. Image and video models are also available via the xAI API, priced per image or per second.
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