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. ...

xAI’s Grok API in 2026 offers three distinct models priced from $0.20 to $6.00 per million tokens, with a 2M-token context window on the flagship tiers — undercutting Anthropic’s Claude Opus 4.7 by 92% on input costs and GPT-5.5 by 60% on output costs at comparable capability levels. The API is fully OpenAI-compatible, ships with built-in real-time web search, and supports prompt caching to further reduce repeated-context costs. This guide covers every model, every price point, and how to calculate what you will actually spend in production. ...