AI Models. Grok (xAI)
Generalist / multimodal / code / agents

Grok (xAI)

Grok 4/4.3, 2M context, real-time X data

xAI develops the Grok 4/4.3 family with context up to 2M tokens. Models support text, image (input and generation), video, function calling and structured outputs; unique value is real-time X data access. API compatible with OpenAI SDK (drop-in). Grok-4.3 is a frontier model; lower tiers (mini, Fast) offer attractive pricing. xAI declared signing the Safety/Security chapter of the GPAI Code.

Verified: 2026-05-22

Purchase decision (when to choose / when to avoid)

Choose if...

  • You need very long context in API (e.g. large repos / large documents).
  • You want OpenAI API compatibility (drop-in) and rapid prototyping.
  • You're doing multimodal (image/video) and want favorable pricing in selected variants.

Avoid if...

  • You need a mature enterprise ecosystem and long deployment history — consider OpenAI/Google/Anthropic.
  • You need public, extensive evaluation/safety documentation comparable to top-3.

Cost in practice (scenarios)

Large context in API

Favorable fast models at volume; plan caching.

  • large documents / repos
  • tool use
Multimodal (images/video)

Cost per generation / second depends on model (check pricing).

  • creatives, material analysis
These are estimates/scenarios (not an invoice). Actual cost depends on context length, number of users, limits and retention policies.

Deployment / data / enterprise

Deployment channels

  • xAI API (OpenAI-compatible)
  • Integrations in custom applications (tool use, structured outputs)

Data policy

Training on data
Depends on xAI terms (check sources).
Retention
Depends on plan/service.
Data residency
Depends on region/service.
In regulated projects, treat as 'requires verification' before deployment.

Enterprise readiness

Admin
Basic mechanisms via xAI API/billing.
SSO/SCIM
Depends on enterprise offering.
Audit
Depends on enterprise offering.
DPA
Depends on agreement.
Certifications
Depends on agreement.
Great cost/quality in selected variants, but enterprise maturity lower than top-3.

Best use cases

  • analysis and generation in large context (up to 2M tokens) with real-time X data
  • multimodal projects: image analysis, graphic and video generation
  • rapid prototyping and migrations from OpenAI (compatible API, SDK drop-in).

Strengths

  • Context up to 2M tokens (Grok-4/4.3); real-time X data — unique for news/social use cases.
  • Pricing tiers: mini/flash from ~$0.30/$0.50; Grok-4 flagship ~$3/$15; 4.1 Fast cheaper (deprecated 05.2026).
  • Image and video generation in API; signed Safety/Security chapter of GPAI Code.

Weaknesses / risks

  • Shorter enterprise history and integration ecosystem than OpenAI/Claude/Google.
  • Less detailed evals and system cards than Anthropic/Google; pricing can be complex across tiers.

Current models (examples)

  • Grok-4.3 — frontier model, reasoning, 2M context, real-time X data.
  • Grok-4 / Grok-4 Fast — reasoning/non-reasoning variants; Grok-3 mini; grok-code-fast-1 (code, 256k).

Alternatives (if this model doesn't fit)

OP
OpenAI
largest ecosystem and enterprise track record
GE
Gemini
multimodal + Vertex/GCP governance
DE
DeepSeek
cheap reasoning/code without platform lock-in