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Grok 4.7 (xAI)

Grok 4.7 is positioned by xAI as the successor within the Grok family of large language models, designed to push the frontier on reasoning-heavy tasks and developer-facing capabilities such as tool calling. According to third-party reporting, the model sits at an unusually large scale, described as carrying roughly 2.1 trillion parameters, reflecting xAI's continuing trend toward substantially bigger backbones between generations. The model is also tracked by independent benchmark aggregators under the xAI creator label, indicating it is being evaluated alongside other frontier systems rather than treated as a niche release.

Despite a string of at least five missed launch commitments through the summer and early September of 2026, Grok 4.7 remains a notable step in xAI's roadmap because it precedes the larger 2.5-trillion-parameter Grok 4.8 successor built on a from-scratch C++ training stack. For practitioners, the practical story is a model intended for sophisticated agentic workflows, long-context reasoning, and multimodal input handling, while the wider ecosystem context — that an even bigger xAI model is already in training — signals that Grok 4.7 is best understood as a transitional but still substantial milestone rather than a final destination on xAI's path toward more general intelligence.

LLM Gatewayxai/grok-4-7grok

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Model key
xai/grok-4-7
Release date
Sep 21, 2026
Last updated
Sep 21, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.00
Output token cost
$6.00

Limits

Output tokens
500,000 tokens
Context window
500,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Grok 4.7 (xAI)

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CoverageBenchmark

Grok 4.7 is described as a 2.1T-parameter model trained on longer RL runs to handle multi-hour agentic tasks, with Terminal-Bench 4.0 improving from 20.3% to 38.0% and a rank of 4 on the Artificial Analysis Coding Agent Index. List pricing is reported at $2/$6 per million input/output tokens, contrasted with OpenAI's $ The article surfaces practitioner skepticism about token-efficiency claims: testers report that hitting 60%+ on the Vals Index required nearly 3x the cost per task versus 4.6, and cache hit rates reportedly fell from 90% to 47%. xAI's claim that 4.7 would be more token-efficient than 4.6 is disputed, with one benchmark

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CoverageRelease Notes

xAI has released Grok 4.7, keeping standard pricing at Grok 4.6's $2 per million input tokens and $6 per million output tokens. The model is available through the xAI API, Cursor, Grok Build, and third-party coding tools and cloud platforms. According to the report, Grok 4.7 uses a larger base model and a longer reinfo xAI reports 46.3% on CursorBench 4.0, 71% on DeepSWE v1.1 at high effort, and 38% on Terminal-Bench 4.0, alongside 3.3% risky cyber-prompt compliance and a 62.4% score on LatchBio's biosafety benchmark. The article notes that a separate configuration cited by The Decoder via Artificial Analysis scored 26% on Terminal-B

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