SpaceXAI’s Grok 4.6 is now available in Public Preview as a fully managed model in Model Garden on Gemini Enterprise Agent Platform. You can learn more on the model card on Model Garden.
Why Grok 4.6
Grok 4.6 is SpaceXAI’s most capable model, released in August 12, 2026. From SpaceXAI:
Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application or work artifac
What the managed endpoint gives you
Serverless: No provisioning, no scaling policies, no patching. Pay only for the tokens you use, at the same rates offered by SpaceXAI.
Two OpenAI-compatible surfaces: Chat Completions for standard requests, and the Responses API for agentic loops that need server-side state.
Enterprise Readiness: One project, one bill, and one IAM policy under one roof. Partners can not access data sent through our endpoint.
Get started
Enable the model on its Model Garden card, then call it through the OpenAI-compatible Chat Completions API. Here is a complete request against the global endpoint:
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
https://aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/global/endpoints/openapi/chat/completions \
-d '{
"model": "xai/grok-4.6",
"messages": [
{
"role": "user",
"content": "Who are you?"
}
]
}'
Preview details
Grok 4.6 is offered at the Preview launch stage, on the global endpoint. Function calling, structured output, and reasoning are supported; reasoning_effort is not, so the model runs at its default effort. Provisioned Throughput and batch inference are not available for this model at launch.
Quota is fixed rather than dynamic. Each project starts at 13 QPM, 188,000 input TPM, and 16,000 output TPM on the global endpoint, and increases are available on request.
Pricing matches SpaceXAI’s direct rates and tiers on context length: $2.00 per million input tokens and $6.00 per million output tokens up to 200K tokens of context, doubling to $4.00 and $12.00 above it. Cached input is $0.50 per million, or $1.00 past the 200K mark.
What’s next
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