particle-1
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash and suited for software engineering work such as terminal workflows and codebase changes.
Precio: Entrada: 12 créditos / 1 M de tokens (≈ $0.06); salida: 120 créditos / 1 M de tokens (≈ $0.60).
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Particle-1 API on ModelFold
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash and suited for software engineering work such as terminal workflows and codebase changes. Try Particle-1 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Particle-1 API
Particle-1 at a glance
Particle-1 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
On ModelFold you call Particle-1 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 Particle-1
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 accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Particle-1 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.
How to Use Particle-1 on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Particle-1 responds before writing any code.
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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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "particle-1" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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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 Particle-1
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.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Particle-1?⌄
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash and suited for software engineering work such as terminal workflows and codebase changes.
Which inputs does Particle-1 support?⌄
Particle-1 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?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Particle-1 support function calling?⌄
Yes. Particle-1 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Particle-1 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 Particle-1 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "particle-1", using your ModelFold API key as the Bearer token.
| Entrada | 12 créditos 1M tokens≈ $0.06 |
| Salida | 120 créditos 1M tokens≈ $0.60 |
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":"particle-1","messages":[{"role":"user","content":"Hello"}]}'