grok-4-20-multi-agent
Grok 4.20 Multi-Agent is a variant of Grok 4.20 for collaborative, agent-based workflows: multiple agents work in parallel to do deep research, coordinate tool use and synthesize the results. It has a 2M-token context window.
Precio: Entrada: 300 créditos / 1 M de tokens (≈ $1.50); salida: 600 créditos / 1 M de tokens (≈ $3.00).
Precios actualizados
¿En qué puedo ayudarte hoy?
Esta página de demostración no incluye todas las funciones de memoria del cliente. Para disfrutar de la experiencia completa, utiliza el cliente o la CLI.
Más modelos de IA de Grok
Modelos de IA recientes y populares
Grok 4.20 Multi-Agent API on ModelFold
Grok 4.20 Multi-Agent is a variant of Grok 4.20 for collaborative, agent-based workflows: multiple agents work in parallel to do deep research, coordinate tool use and synthesize the results. It has a 2M-token context window. Try Grok 4.20 Multi-Agent in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Grok 4.20 Multi-Agent API
Grok 4.20 Multi-Agent at a glance
Grok 4.20 Multi-Agent is a chat model from Grok. It accepts text, images and files (such as PDF) as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Grok 4.20 Multi-Agent with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Grok 4.20 Multi-Agent
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and files (such as PDF)
Besides text, Grok 4.20 Multi-Agent accepts images and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Grok 4.20 Multi-Agent on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Grok 4.20 Multi-Agent responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "grok-4-20-multi-agent" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Grok 4.20 Multi-Agent
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Grok 4.20 Multi-Agent?⌄
Grok 4.20 Multi-Agent is a variant of Grok 4.20 for collaborative, agent-based workflows: multiple agents work in parallel to do deep research, coordinate tool use and synthesize the results. It has a 2M-token context window.
Which inputs does Grok 4.20 Multi-Agent support?⌄
Grok 4.20 Multi-Agent accepts text, images and files (such as PDF) and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Grok 4.20 Multi-Agent?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Grok 4.20 Multi-Agent support function calling?⌄
Function calling is not listed for Grok 4.20 Multi-Agent; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Grok 4.20 Multi-Agent billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Grok 4.20 Multi-Agent through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "grok-4-20-multi-agent", using your ModelFold API key as the Bearer token.
| Entrada | 300 créditos 1M tokens≈ $1.50 |
| Salida | 600 créditos 1M tokens≈ $3.00 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"grok-4-20-multi-agent","messages":[{"role":"user","content":"Hello"}]}'