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Particle-1

Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash.

Try in ewpireparticle-ai/particle-1

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

Particle-1 in plain words

Particle-1 is a text model from Particle AI. It takes text and images as input and returns text. Its context window is 1,048,576 tokens. It costs 0.062059 credits per 1M input tokens and 0.620589 credits per 1M output tokens.

It is good at reasoning through multi-step problems and calling tools. It reads images as well as text. A context window of 1,048,576 tokens holds about 4,200,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.000745 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
Particle AI
Good at
ReasoningVisionTool use
Reads
Text, Images
Produces
Text
Context window
1,048,576 tokens

Price

Input, per 1M tokens
0.062059 credits
Output, per 1M tokens
0.620589 credits

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"particle-ai/particle-1","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

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