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SpaceXAI

Grok 4.20 Multi-Agent Beta

A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.

Plain-English overview

What Grok 4.20 Multi-Agent Beta actually is

Grok 4.20 Multi-Agent is built for deep research rather than quick chat. A lead agent breaks the question into parts while other agents search, analyze, and cross-check information before the lead produces the final response.

It can work with text and images, and developers can add SpaceXAI's web, X, code, and collection-search tools. The one-million-token context is generous, but multi-agent work can take longer and use more tools than a normal model call.

Good fit for

  • Deep research with several lines of inquiry
  • Source gathering and cross-checking
  • Complex questions that benefit from parallel analysis

Category comparison

The facts that matter for text models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Context windowMaximum combined prompt and working context documented by the provider.
1,000,000 tokens
Maximum outputProvider-published response limit, where available.
Not published
Input priceCurrent standard list price per million input tokens unless noted.
$1.25 / 1M
Output priceCurrent standard list price per million output tokens unless noted.
$2.50 / 1M
InputsMedia types accepted by the listed model endpoint.
Text, image
Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list.
4–16 agents; functions, web/X, code, collections

API and provider access

Where to get Grok 4.20 Multi-Agent Beta

Availability

Regions and access stage

Available in beta through the SpaceXAI API for multi-agent research and reasoning.

The current model page lists us-east-1 and us-west-2. Beta interfaces and aliases can change.

Check live availability

Data and training

The route matters.

SpaceXAI says API inputs and outputs are not used for training without explicit permission. Requests are encrypted and retained for 30 days by default; team-level zero data retention is available with feature tradeoffs.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Grok 4.20 Multi-Agent Beta FAQ

What is Grok 4.20 Multi-Agent Beta?

A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer. Grok 4.20 Multi-Agent is built for deep research rather than quick chat. A lead agent breaks the question into parts while other agents search, analyze, and cross-check information before the lead produces the final response.

When was Grok 4.20 Multi-Agent Beta released?

Grok 4.20 Multi-Agent Beta was released on March 10, 2026 according to the cited provider materials.

Where can I access Grok 4.20 Multi-Agent Beta?

Available in beta through the SpaceXAI API for multi-agent research and reasoning. The access routes listed in this guide are SpaceXAI, SpaceXAI.

How much does Grok 4.20 Multi-Agent Beta cost?

$1.25 input · $2.50 output / 1M tokens. Cached input is $0.20 per million tokens. Requests at or above 200K prompt tokens use higher rates, and built-in tools add separate usage charges.

Where is Grok 4.20 Multi-Agent Beta available?

Available in beta through the SpaceXAI API for multi-agent research and reasoning. The current model page lists us-east-1 and us-west-2. Beta interfaces and aliases can change.

Is my Grok 4.20 Multi-Agent Beta API data used for training?

SpaceXAI says API inputs and outputs are not used for training without explicit permission. Requests are encrypted and retained for 30 days by default; team-level zero data retention is available with feature tradeoffs. The policy belongs to the provider route and account terms, so verify it again before production use.