xAI's most powerful model for coding and knowledge work — a larger base than Grok 4.6, tuned for harder multi-hour tasks and careful self-verification.
Last verified · 2026-09-21 · by Moe Ameen
Grok 4.7 is xAI's newest flagship model, released on September 21, 2026 and positioned as its most powerful model for coding and knowledge work. It is a general-purpose reasoning model — text and image input, text output — built on a larger base than Grok 4.6 (Elon Musk publicly put the new base near 2.1 trillion parameters, up from 4.6's ~1.5 trillion) and trained with extended reinforcement learning on harder, multi-hour tasks. xAI says it works longer on difficult problems, checks its own work more carefully, manages long context better, and was trained to natively understand the Grok Bot harness for conversational and knowledge-work tasks.
xAI's launch benchmarks show gains over 4.6 across coding, agentic, and knowledge evals rather than a single headline win. CursorBench 4.0 rises to 46.3% (from 40.4%), DeepSWE v1.1 to 71.0% at high effort (from 65.2%), Terminal-Bench 4.0 to 38.0% (from 20.3%), EEBench to 64.0% (from 53.0%), HealthBench Professional to 56.7% (from 48.5%), and the Harvey Legal Agent benchmark to 19.6% (from 15.8%). These are xAI's own numbers; wait for independent evaluations before treating any single comparison as settled. The company also describes its best-calibrated safeguards to date on this release.
The model keeps Grok 4.6's 500,000-token context window and configurable reasoning effort up to an "xhigh" level. API pricing is unchanged at the headline — $2.00 per million input tokens, $0.50 per million cached input, and $6.00 per million output — with a faster variant at roughly double the speed and double the price. Once a request crosses the 200,000-token threshold, the whole request bills at double ($4.00 input, $12.00 output). One practical note: at high effort it reasons at length, so output-token cost (the expensive side of the bill) can climb on long tasks. It is available through the xAI API, Grok Build, Cursor, and third-party coding harnesses and cloud platforms.
For creators, the framing is unchanged from 4.5 and 4.6: Grok 4.7 is a model, not a content app. Its coding and knowledge-work strength means it reads dense sources and reasons over them well — it does not generate images or video, design or caption anything, or publish to any platform. It is the reasoning-and-drafting layer, not the production-and-distribution one.
The upgrade in Grok 4.7 that matters for content is knowledge-work depth: it ingests a large, messy source — a quarterly report, a 90-minute webinar transcript, a research thread — into its 500K window and returns a careful, self-verified brief. That makes it the ideal front end for a research-to-content run. The catch is that a brief is not content. Grok 4.7 renders no pixels, holds no brand template, and publishes nowhere.
Kompozy is the production layer on the other side of that brief. Drop Grok 4.7's summary or key-points into Kompozy as a source, and the engine turns one dense input into a whole content series: a HeyGen persona/avatar short with auto-captions that explains the finding, a brand-exact carousel through HyperFrames that breaks it into slides, quote cards pulling the sharpest lines, an infographic poster, a blog article, and a newsletter — every piece in your voice via the Persona Brief. Then autopilot schedules and publishes the set across the eight social platforms plus blog and email from one queue. Grok 4.7 does the reading and reasoning; Kompozy does the making and shipping. You are not wiring Grok into Kompozy — Kompozy runs its own generation on managed Claude and OpenAI models, so 4.7's brief goes in as raw material and the engine takes it the rest of the way.
Grok 4.7 is xAI's flagship model released September 21, 2026 — a general-purpose reasoning model (text and image input, text output) positioned as its most powerful model for coding and knowledge work. It is built on a larger base than Grok 4.6, keeps a 500,000-token context window, and is reachable via the xAI API, Grok Build, Cursor, and third-party coding harnesses and cloud platforms.
Via the xAI API, Grok 4.7 is $2.00 per million input tokens, $0.50 per million cached input, and $6.00 per million output — the same headline rate as Grok 4.6. Once a request crosses 200,000 tokens, the whole request bills at double ($4.00 input, $12.00 output), and a faster variant costs about double the standard rate on top of that. High-effort reasoning generates a lot of output tokens, so budget for the tokens it produces, not just the ones you send.
It is built on a larger base model with extended training on harder, multi-hour tasks, better self-verification and long-context management, and native Grok Bot harness understanding — at the same 500,000-token context and the same price. xAI reports gains across its coding, agentic, and knowledge-work launch benchmarks.
No. Grok 4.7 reasons over text and images and writes text and code; it generates no images, video, or audio and publishes nothing. To turn its research and drafts into finished, scheduled posts, pair it with a content engine like Kompozy that generates the media and publishes across platforms.
Use its knowledge-work strength to read a dense source and return a self-checked brief plus a batch of angles, then paste that into Kompozy, which generates persona video, carousels, images, blogs, and newsletters in your brand voice and publishes them across eight platforms plus blog and email.