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Grok 4.7

Grok 4.7 is a chat model in the Grok family from xAI (listed in our catalog as SpaceXAI), served through hosted inference APIs and tracked here for cross-provider pricing.

Input from
$0.840 / 1M tokens
on HiAPI · 5 providers
Output from
$2.52 / 1M tokens
on HiAPI

API Pricing

Cheapest input on HiAPI · cheapest output on HiAPI
ProviderInput / 1MOutput / 1MCached / 1M
$0.840$2.52$0.210
$1.60$4.80$0.400
$1.60$4.80-
$2.00$6.00$0.500
$2.00$6.00$0.500
$2.36$7.08$0.590

Prices updated daily. Last check: Nov 6, 2026

Compare API pricing for every Grok model →

Grok 4.7 pricing by provider

Input, output, and batch rates, plus alternatives, for one provider at a time.

Performance & Benchmarks

Source: Artificial Analysis →
Intelligence
35.5 / 100
Output Speed
67.8 t/s
Latency (TTFT)
81.1s

Benchmarks measured Nov 2026. Scores are independent evaluations, not vendor-reported.

Model Details

General

Creator
xAI
Modalities
Text

Capabilities

Open Source
No

Strengths & Limitations

Strengths

  • Part of the Grok 4.x generation, so it inherits the general-purpose chat behavior and tooling conventions of that line
  • Measured time to first token of about 712 ms in Artificial Analysis testing, which suits interactive chat interfaces
  • Measured output throughput of roughly 38.35 tokens per second on tracked endpoints, giving a concrete figure to compare against alternatives
  • Available through hosted inference APIs, so no GPU provisioning or model hosting is required to start
  • Positioned as a general-purpose chat model rather than a narrow specialist, covering drafting, summarization, and coding assistance from one endpoint
  • Tracked across providers on this page, so rates and availability can be compared side by side

Limitations

  • We do not have a confirmed context window for Grok 4.7 in our database — verify the limit with your serving provider
  • Modality support (image input, audio, structured output, tool calling) is not tracked in our data, so it should be confirmed before building on it
  • No public benchmark scores for reasoning, coding, or multilingual performance are recorded in our data for this release
  • Measured output speed of about 38 tokens per second is a mid-range figure; latency-critical, high-volume streaming workloads may need a smaller or faster-serving model
  • As a point release within the Grok 4.x line, differences from adjacent Grok versions are not documented in our metadata and require your own evaluation

Key Features

•Chat/instruction-following model in the Grok 4.x family
•Hosted inference API access (no self-hosting required)
•Measured ~38.35 output tokens per second (Artificial Analysis)
•Measured ~712 ms time to first token (Artificial Analysis)
•Streaming-style interactive responses suited to assistant UIs
•General-purpose coverage: dialogue, drafting, summarization, coding assistance
•Multi-provider price tracking on this page

About Grok 4.7

Grok 4.7 is a conversational large language model in the Grok series, credited in our database to SpaceXAI (xAI). It sits in the Grok 4.x generation of the family, a point release that follows the Grok 4 line rather than a separate lightweight or reasoning-only variant. Our catalog classifies it as a chat model, meaning it is intended for instruction-following, dialogue, and general assistant workloads exposed over an inference API. The measurements we track for Grok 4.7 come from Artificial Analysis: roughly 38.35 output tokens per second and a time to first token of about 712 ms. Those figures describe throughput and latency as observed on a hosted endpoint, not model architecture, and they can shift with provider, region, load, and prompt length. We do not currently track a confirmed context window, modality list, or public benchmark scores for this specific release, so any such details should be checked against the serving provider's own model card before you commit to it in production. In practice, models in this tier are used for general chat assistants, drafting and summarization, coding help, and agent-style loops where a single capable general-purpose model handles most steps. When comparing Grok 4.7 against peers, the useful axes are the measured latency and throughput above, the per-provider rates in the pricing table on this page, and your own evaluation on representative prompts — published family-level claims rarely transfer cleanly to a specific point release.

Common Use Cases

Grok 4.7 fits general-purpose assistant workloads where one model handles a wide mix of tasks: conversational support agents, drafting and rewriting text, summarizing documents or threads, answering questions over supplied context, and coding assistance such as explanation, review, and small refactors. Its sub-second measured time to first token makes it reasonable for interactive front-ends where users see a response begin quickly, while its mid-range output throughput means very long generated outputs will take noticeably longer than on faster-serving small models. For agent pipelines, batch classification, or anything that depends on a specific context length, tool-calling format, or image input, confirm those capabilities directly with the provider you plan to use, since our metadata does not record them for this release.

Frequently Asked Questions

How much does Grok 4.7 cost?

Pricing depends on the provider and the pricing type — input versus output tokens, cached input, and any batch or committed-use discounts all differ between hosts, and rates change frequently. Check the pricing table on this page for the current per-provider figures rather than relying on a number quoted in an article.

What is Grok 4.7 best used for?

It is a general-purpose chat model, so it suits conversational assistants, drafting and summarization, question answering over provided context, and coding help. Its measured ~712 ms time to first token makes it workable for interactive interfaces where response start time matters.

Who makes Grok 4.7?

The Grok series comes from xAI; our database records the creator for this entry as SpaceXAI. It is a point release within the Grok 4.x generation.

How fast is Grok 4.7?

Artificial Analysis measurements tracked in our database show roughly 38.35 output tokens per second with a time to first token of about 712 ms. Both figures vary by provider, region, load, and prompt length, so treat them as a reference point rather than a guarantee.

What context window does Grok 4.7 support?

We do not currently track a confirmed context window for this release. Check the model card of the provider you intend to use, since context limits can also differ between hosts serving the same model.