Quick Profile

Grok 4.20 Multi-Agent

Name: Grok 4.20 Multi-Agent
Brand: xAI

Grok 4.20 Multi-Agent is a balanced model with ultra-long context support, suited to deep research and parallel-agent tasks for enterprise teams.

Try Grok 4.20 Multi-Agent with your team

Last reviewed: 2026-04-07

Context Window

2,000,000

Input / 1M

$2.00

Output / 1M

$6.00

Why this model

xAI lists Grok 4.20 Multi-Agent as an ultra-long context option with $2.00 per 1M tokens input pricing, $6.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

Grok 4.20 Multi-Agent offers ultra-long context capacity for enterprise prompts and documents.
Current pricing band is balanced: $2.00 per 1M tokens input and $6.00 per 1M tokens output.
Best-fit workloads include: Deep research, Parallel-agent tasks, Complex synthesis.
Keep role-based access in place before broad rollout.

At a glance

Model ID: x-ai/grok-4.20-multi-agent
Context Window: 2,000,000 tokens
Modality: text->text
Input Modalities: text
Output Modalities: text
Input Price: $2.00 per 1M tokens
Output Price: $6.00 per 1M tokens
Provider: xAI
Listing Date: 2026-03-31

Strengths

Grok 4.20 Multi-Agent is suited for deep research.
Supports ultra-long context for multi-step prompts and larger working sets.
Pricing profile is balanced, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Operational drift can appear over time without recurring quality evaluations.
Very large context windows can increase token spend variance without strict limits.
Balanced-price tiers still need policy-based routing to protect monthly budgets.
Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

Grok 4.20 Multi-Agent for internal productivity assistants and knowledge workflows.
Grok 4.20 Multi-Agent for tool-driven automation with governance checkpoints.
Grok 4.20 Multi-Agent for internal productivity assistants and knowledge workflows.
Grok 4.20 Multi-Agent for governed enterprise assistant workflows across teams.

Rollout checklist

Define where Grok 4.20 Multi-Agent is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
Start with one workflow, then expand after you verify quality and spend.
Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Start Smaller

Safe AI Use Case Selector

Choose your team and goals, then start with the AI use cases that fit best and carry the least risk.

You get

Recommended first use cases for your company.

Send to my email

Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

temperature

Lower temperature for deterministic policy and compliance tasks.

top_p

Use tighter sampling for stable outputs in repeatable operations.

response_format

Prefer structured output where responses feed internal systems.

Start Smaller

AI Risk Test

Test what can go wrong before teams start using AI loosely across the company.

You get

A short risk summary with the main gaps to close.

Send to my email Book demo

Knowledge Hub

Grok 4.20 Multi-Agent FAQs

Choose Grok 4.20 Multi-Agent when the workload aligns with deep research, parallel-agent tasks, complex synthesis and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Grok 4.20 Multi-Agent with your team