xAI
Grok 4.7
grok-4.7
Total Context
500K
Max Output
500K
Released
N/A
Input$1.6 / M tokens
Output$4.8 / M tokens
Grok 4.20 Multi-Agent
grok-4.20-multi-agentGrok-4.20-multi-agent is described by third-party model catalogs as a Grok 4.20 variant for collaborative agent workflows. The key idea is parallel or coordinated agents handling research, tool use, and synthesis instead of a single linear assistant. It should be positioned around deep research, multi-agent orchestration, and complex task decomposition.
Context Window
1M tokens
Maximum Output
30K tokens
Release Date
Mar 9, 2026
Modalities
Grok 4.20 Multi-Agent Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.25/M | $2.5/M | $0.2/M |
Grok 4.20 Multi-Agent API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
—
Endpoint Protocols
Completions APIMessages APIgemini
Grok 4.20 Multi-Agent Model Highlights
Grok 4.20 Multi-Agent is a beta research model that coordinates parallel agents, synthesizes their findings and supports million-token multimodal context.
Parallel Agent Collaboration
Multiple agents examine a request concurrently, contributing separate perspectives and findings before a leader produces the final response.
Scalable Research Depth
Four-agent and sixteen-agent configurations let developers choose between focused investigation and broader multi-perspective analysis.
Long-Context Synthesis
A 1,000,000-token window and text-image input support synthesis across extensive source collections and visual evidence.
Grok 4.20 Multi-Agent Use Cases
Grok 4.20 Multi-Agent is suited to deep research, structured comparisons and evidence synthesis that benefit from independent parallel investigation.
Deep Research Reports
Divide a broad research question among parallel agents, investigate different aspects and consolidate the findings into one coherent report.
Multi-Perspective Comparison
Compare technologies, policies or strategic options across several criteria, using separate agents to surface trade-offs and overlooked considerations.
Cross-Source Evidence Synthesis
Examine large sets of textual and visual material in parallel, reconcile differing findings and produce an organized evidence summary.
How to Use Grok 4.20 Multi-Agent via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Grok 4.20 Multi-Agent Benchmarks
Grok 4.20 0309 (Reasoning)
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 36.5 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 42.2 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 88.5% |
| HLE | Broad expert-level exam set | 30% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 44.7% |
| Terminal-Bench Hard | Hard terminal task execution | 40.9% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 82.9% |
| AA-LCR | Long-context reasoning | 59% |
| τ²-Bench | Agent workflow tasks | 96.5% |
Metrics sourced from Artificial Analysis
Frequently asked questions about Grok 4.20 Multi-Agent
Understand what Grok 4.20 Multi-Agent is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What kind of model is Grok 4.20 Multi-Agent?+
Grok 4.20 Multi-Agent is xAI’s beta research model that coordinates multiple agents in parallel for deep research and synthesis. It is a beta model, so validate latency, output consistency, and supported features before production use.
What should teams use Grok 4.20 Multi-Agent for?+
Best-fit scenarios include deep research and evidence synthesis, research that benefits from several parallel investigators, and synthesis across many sources and hypotheses. Test representative inputs and define measurable acceptance criteria before production.
Where does Grok 4.20 Multi-Agent have a clear technical advantage?+
Key strengths include parallel collaboration among multiple agents, effective use of tools and function calls, and strong handling of long context. This combination is especially useful for research that benefits from several parallel investigators.
When should a team choose another model instead of Grok 4.20 Multi-Agent?+
Consider another model when the request needs an immediate single-model response, the extra parallel-agent work is not worth the added time or usage, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
What should be checked before integrating Grok 4.20 Multi-Agent with TokenHub?+
In TokenHub, select the exact model identifier displayed for Grok 4.20 Multi-Agent, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Confirm that TokenHub exposes the multi-agent model and required research tools, and review how its reasoning setting affects agent count, latency, and usage.
Ready to use Grok 4.20 Multi-Agent?
Use one API key to access Grok 4.20 Multi-Agent and more AI models through TokenHub.
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