Xai

The xAI Grok speech API gives developers separate STT and TTS endpoints for transcription, live captions, generated speech, and voice workflows. Use STT when audio becomes text, TTS when text becomes audio, and the Voice Agent API only when the product needs full two-way spoken conversation. What Is the xAI Grok Speech API in 2026? The xAI Grok speech API is a set of production voice endpoints for speech-to-text, text-to-speech, and conversational voice applications under the Grok developer platform. xAI announced standalone Grok STT and TTS APIs on April 17, 2026, with STT general availability listed on April 15, 2026 and TTS general availability listed on March 16, 2026. For developers, the practical split matters more than the launch timeline: /v1/stt transcribes uploaded or streamed audio, /v1/tts generates audio from text, and the Voice Agent API handles full duplex speech workflows. The speech APIs target common app surfaces such as call analytics, meeting notes, accessibility captions, IVR prompts, podcast production, and voice agents. The core takeaway is simple: treat Grok speech as composable audio infrastructure, not as one monolithic voice product. ...

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. ...

Grok 4 launched in Q2 2026 as xAI’s flagship reasoning model, positioned against Claude Opus 4.7 and GPT-5.5 at a competitive $3.50 per million tokens for API access — significantly cheaper than Claude Opus 4.7’s input pricing or GPT-5.5’s $5/million input tokens. The 2M+ context window is the headline spec: processing an entire large codebase or a full book in a single prompt without chunking. The grok-code-fast variant adds a specialized tokenizer optimized for programming tasks. xAI built Colossus — a 100,000+ H100/H200 GPU cluster — specifically for Grok 4’s training, which reflects both the ambition and the resources behind this model. Here’s an honest technical assessment of what Grok 4 delivers versus its benchmarks. ...