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Model Landing Template

Grok 4.20 Multi-Agent Beta

A high-context, multi-agent model profile for enterprise research and complex tool-driven workflows.

Use Grok 4.20 Multi-Agent Beta in your company

Data checked: 2026-03-15

Context Window
2,000,000
Input / 1M
$2.00
Output / 1M
$6.00

Model Positioning

xAI positions this variant for collaborative agent workflows where multiple agents run in parallel for deep research and synthesis.

  • Very large context window for long document chains and multi-step sessions.
  • Parallel-agent reasoning behavior increases depth on hard prompts.
  • Useful when teams need structured planning and high-fidelity synthesis.
  • Best deployed with policy guardrails and budget limits from day one.

Key Specs

Model ID
x-ai/grok-4.20-multi-agent-beta
Context Window
2,000,000 tokens
Modality
text+image->text
Input Price
$2.00 per 1M tokens
Output Price
$6.00 per 1M tokens
Provider
xAI
Listing Date
2026-03-12

Strengths

  • High continuity across long investigations and research traces.
  • Strong fit for multi-source synthesis and deep analysis.
  • Text-plus-image input supports mixed evidence workflows.
  • Reasoning-effort controls allow deeper passes on critical tasks.

Tradeoffs

  • Higher cost profile than lightweight production models.
  • Not ideal for short, repetitive, low-risk interactions.
  • Can generate unnecessary spend if enabled broadly without limits.
  • Requires explicit workflow design for tool-heavy operations.

High-Fit Use Cases

  • Cross-department compliance research across large policy libraries.
  • Incident investigation workflows that require evidence synthesis.
  • Complex technical planning with iterative reasoning stages.
  • Executive brief generation from long, heterogeneous inputs.

Deployment Checklist

  • Pilot with one high-value research workflow first.
  • Enable for approved roles rather than all users.
  • Apply department-level spend thresholds before rollout.
  • Track policy events and output quality in weekly reviews.
  • Scale only after cost and quality targets are stable.

Parameter Guidance

reasoning

Documented behavior is 4 agents at low/medium effort and 16 agents at high/xhigh effort.

structured_outputs

Use schema-constrained outputs for downstream automation and reviewability.

response_format

Set strict output format for workflow reliability and audit quality.

max_tokens

Enforce completion limits to control spend variance on long-context prompts.

Knowledge Hub

Grok 4.20 Multi-Agent Beta FAQs

Choose it for high-complexity, research-heavy workflows where long context and deeper reasoning improve quality.
No. It is better as a specialist tier for difficult workloads, while routine traffic should run on lower-cost models.
At minimum: role-scoped access, policy checks, usage logging, and budget controls by team.

Deploy This Model With Governance

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

Use Grok 4.20 Multi-Agent Beta in your company