Cargando plantilla…
⚡ Usar con la API

Particle-1 (free) is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash, for terminal workflows, codebase changes and data work. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.

Precio: Entrada: 0 créditos / 1 M de tokens (≈ $0.00); salida: 0 créditos / 1 M de tokens (≈ $0.00).

Conversación
✦

¿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 Particle AI

≡
README
Guía completa de Particle-1 (free)

Particle-1 (free) is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash, for terminal workflows, codebase changes and data work. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.

Particle-1 (free) at a glance

Particle-1 (free) is a chat model from Particle AI. It accepts text and images as input and returns text, with a context window of up to 1M tokens.

Use it without hosting anything

The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Particle-1 (free)

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

Besides text, Particle-1 (free) accepts images as input, so a single request can combine instructions with visual or other media.

Function calling

Particle-1 (free) supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

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.

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Particle-1 (free) responds before writing any code.

  2. 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. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "particle-1-free" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

AI coding assistants

Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.

Autonomous agents

Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Frequently Asked Questions

What is Particle-1 (free)?⌄

Particle-1 (free) is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash, for terminal workflows, codebase changes and data work. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.

Which inputs does Particle-1 (free) support?⌄

Particle-1 (free) accepts text and images 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 Particle-1 (free)?⌄

Up to 1M tokens, shared between your input and the model’s output.

Does Particle-1 (free) support function calling?⌄

Yes. Particle-1 (free) supports tools / function calling through the standard tools parameter of the chat completions API.

How is Particle-1 (free) billed on ModelFold?⌄

This is the free version served through OpenRouter: calls are not charged, but they are rate-limited and the free version may be withdrawn at any time. Use the paid version of the model for production traffic.

Tarifas
Entrada0 créditos 1M tokens≈ $0.00
Salida0 créditos 1M tokens≈ $0.00

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 →
Inicio rápido
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"particle-1-free","messages":[{"role":"user","content":"Hello"}]}'