Grok

Grok 4.20 Multi-Agent is xAI’s beta API model for parallel research: a leader agent coordinates 4 or 16 sub-agents, uses server-side tools, and synthesizes one answer. Use it for source-heavy research workflows, not ordinary chat completion paths or low-latency product responses. What Is Grok 4.20 Multi-Agent? Grok 4.20 Multi-Agent is xAI’s beta Realtime Multi-agent Research model, exposed as grok-4.20-multi-agent, that runs several reasoning agents in parallel and returns a synthesized answer through a leader agent. xAI documents two configurations: 4 agents for agent_count=4 or reasoning.effort set to low or medium, and 16 agents for agent_count=16 or high/xhigh effort. The practical distinction is not “a smarter chatbot”; it is a research workflow where separate agents can search, analyze, compare evidence, and then have the leader resolve conflicts. That makes the API useful for due diligence, technical landscape scans, competitive analysis, and live-source summaries. The important takeaway for developers is that multi-agent mode trades latency and token volume for deeper coverage. ...

The cost of a Grok API job depends on the model actually served, token categories, context tier, tool use and retries. A single “price per million tokens” hides several of those inputs. This guide records a checked public rate example and shows how to reconcile it with usage. It does not replace your account’s bill or promise a universal saving against another model. A checked current model example On October 20, 2026, the Grok 4.7 model page lists: ...