POST /v1/chat/completionsGrok 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.
Total Context
1Mtokens
Max Output
30Ktokens
Released
Mar 9, 2026
Modalities
Grok 4.20 Multi-Agent Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.25/M | $2.5/M | $0.2/M |
Grok 4.20 Multi-Agent API
Grok 4.20 Multi-Agent Benchmark
Grok 4.20 0309 (Reasoning)
36.5
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
42.2
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
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.
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