aimbigtech.com — Technology · AI · Business ⌕
Model · Frontier LLM

Grok (xAI)

Grok models for coding and agents with optional web and X search.

Quick answer

What is Grok (xAI)?

Grok is the model family associated with xAI; the current documentation labels its developer SpaceXSI. This profile specifies Grok 4.7, a text-and-image-input model for coding and agentic work. Current-event access requires search tools rather than being an automatic property of the model.

Grok (xAI) official website
Screenshot of the official website (grok.com), October 2026
PricingGrok 4.7 API per 1M tokens: $2 input / $6 output; cached input $0.50. At ≥200K prompt tokens: $4 / $12; cached input $1. Search tools cost extra.Checked Oct 26, 2026 · source
BenchmarksTo be verifiedWe haven't checked this yet

Key features

  • Text and image input; text output
  • 500K-token context
  • Configurable reasoning effort
  • Function calling
  • Structured outputs
  • Optional Web Search and X Search

Best for

  • Tool-connected coding assistants
  • Search-backed current-event research
  • Image-assisted knowledge work

Who it suits

  • Developers building search-backed assistants
  • Coding-agent teams
  • Analysts working with web and X sources

Who may not need it

  • Applications requiring offline inference
  • Users expecting automatically live answers

Integrations and compatibility

  • Web Search
  • X Search

Where it fits in a workflow

Use Grok behind an explicit search-and-citation step when freshness matters. Set token and tool budgets separately, and verify retrieved claims before publishing.

Browse AI & automation workflows →

Specifications

Model familyGrok
Version these details describeGrok 4.7 (grok-4.7)
DeveloperSpaceXSI (as labelled in current xAI documentation)
Modalitiestext, image
Context window500,000 tokens
AccessAPI

Specifications apply to the version named above only and were checked on Oct 26, 2026. Official model documentation.

Sources

Strengths

  • Web and X search routes for fresh information
  • Reasoning-effort controls
  • Structured responses for application pipelines

Watch-outs

  • No real-time knowledge without enabled search tools
  • Long-context rates apply to the whole request at the threshold
  • Search tools introduce charges beyond model tokens

Alternatives

Related coverage

Listings are editorial and independent. Details that change often are marked “to be verified” until an editor checks them against the official source.