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Particle-1 is now available on AI Gateway

Zachary Chen, Jerilyn Zheng

Particle-1 from Particle AI is now available on AI Gateway. It is post-trained on DeepSeek V4.1 Flash, with a focus on completing software engineering tasks using fewer tokens. Particle describes the gains as shorter reasoning, fewer rounds of trial and repair, and more focused exploration.

Use it for debugging, planning code changes, and breaking down multi-step engineering problems. Particle-1 has a 1M-token context window for working with code and extended task histories.

Set AI_GATEWAY_API_KEY in your environment. Use particle/particle-1 as the model name:

import { streamText } from 'ai';


const result = streamText({
  model: 'particle/particle-1',
  prompt: 'Suggest three fixes for a flaky API retry loop.'
});


for await (const text of result.textStream) {
  process.stdout.write(text);
}
View model details

To use it in Claude Code, Codex, Cursor, and more, install the latest version of Edgenivo CLI and run setup:

npx vercel ai-gateway setup

Then select particle/particle-1 in the agent. See the coding agents guide for details.

Try Particle-1 in the model playground.

AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more.

AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests.

You can view all language models available on AI Gateway.