Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...
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Measured against all 423 chat models CoreAI serves, SpaceXAI: Grok 4.7 sits at #157 for context capacity — 500K tokens, roughly 375,000 words or 750 pages of text in a single conversation. On price, it is the #172 cheapest of 200 standard-tier models by input cost. Released 2026-09-21, it is one of the 1 newest additions to the catalog. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through SpaceXAI: Grok 4.7 and SpaceXAI: Grok 4.3 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00400 on SpaceXAI: Grok 4.7's raw per-token rates; a heavy session with a 50K-token document costs about $0.104. On CoreAI you don't juggle these numbers — one subscription covers SpaceXAI: Grok 4.7 and 300+ other models under a plan usage limit, with no API keys. See plans.
SpaceXAI: Grok 4.7 handles 500K tokens of context — roughly 375,000 words, or about 750 pages of text in one conversation.
SpaceXAI: Grok 4.7's underlying rates are $1.6 per 1M input tokens and $4.8 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — SpaceXAI: Grok 4.7 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. SpaceXAI: Grok 4.7 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick SpaceXAI: Grok 4.7 in the model selector, and chat — no API key, no per-token billing. One subscription covers SpaceXAI: Grok 4.7 and 300+ other models.
The closest alternatives on CoreAI are SpaceXAI: Grok 4.3, xAI: Grok Latest, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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