What Can Grok Models Do on SpaceXAI (x.ai)?

Updated

Grok models on SpaceXAI (x.ai) handle reasoning, code, voice, images, and video through a single unified API. If you want one integration point for multiple modalities — text Q&A, coding assistance, voice, image generation, and video — the Grok API is built for that. The current frontier model is Grok 4.7, and the platform reports 1M+ API calls per day, under 200ms median latency, and 5+ model families.

Modalities available through one API

SpaceXAI describes its developer offering as "One API. Every modality." The modalities listed are:

  • Text — general Q&A, explanations, and chat (e.g., "Explain quantum entanglement simply," "Why is the sky blue?").
  • Code — coding assistance, including agent-style workflows that read files, grep for references, and edit source (the site shows an example migrating auth from sessions to JWT).
  • Voice — voice interaction is listed as a supported modality.
  • Images — image generation is listed as a supported modality.
  • Video — video is listed as a supported modality.

Because these run through one API, you don't need separate providers or SDKs per modality.

What you can build with it

The site groups entry points by task rather than by model:

Entry point Typical use
Chat Conversational Q&A and explanations
Build Code generation and agentic coding tasks
Explore Research-style exploration and reasoning
Bot Bot-style interactions
Imagine Image generation
Voice Voice interaction

For developers, the same capabilities are exposed via the API rather than the consumer apps.

Getting started with the API

The API is OpenAI-compatible, so you can use the official OpenAI SDK by pointing baseURL at https://api.x.ai/v1. You need an API key, passed as XAI_API_KEY.

Python (xai_sdk):

import os
from xai_sdk import Client
from xai_sdk.chat import user

client = Client(api_key=os.getenv("XAI_API_KEY"))
chat = client.chat.create(model="grok-4.7")
chat.append(user("Explain quantum computing"))
response = chat.sample()
print(response.content)

TypeScript (Vercel AI SDK):

import { xai } from "@ai-sdk/xai";
import { generateText } from "ai";

const { text } = await generateText({
  model: xai.responses("grok-4.7"),
  prompt: "Explain quantum computing",
});
console.log(text);

cURL:

curl https://api.x.ai/v1/chat/completions \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-4.7",
    "messages": [{"role": "user", "content": "Explain quantum computing"}]
  }'

Expected result: a completion returned in the standard chat-completions shape (response.choices[0].message.content), so existing OpenAI-style code needs only the base URL and key changed.

Choosing how to start

  • Just want to try it — the site offers "Try for free" and consumer apps (iOS, Android, Grok on X, Grok Bot).
  • Building an integration — get an API key and read the docs; start with the OpenAI-compatible endpoint if you already have OpenAI code.
  • Business or government use — separate Grok Business and Government offerings are listed.

Pricing details live at x.ai/pricing; check there for current rates before committing to a plan, since the input doesn't specify costs or free-tier limits.