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Community: Particle-1

particle-1

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Particle-1 is Particle AI’s coding and data-engineering model, post-trained on DeepSeek V4.1 Flash. It accepts text and images, supports tool calling, and offers a shared 1,048,576-token context window with up to 131,072 output tokens, including reasoning. Reasoning defaults to high and can be turned off. JSON formatting is supported; strict JSON-schema enforcement is not guaranteed.

Modalities

Text + Image → Text

Input / output price

$0.325 / $1.30 per 1M

Context

1.05M · max output 131K

Capabilities

ReasoningVisionTool callingLong context

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.325
Output$1.30
Cached input$0.039

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00201
Per day
$1.01
Per month (30 days)
$30.22

Particle-1: input $0.325/M · output $1.3/M · cached input $0.039/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "particle-1", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to particle-1.

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

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Particle-1 billed?
Input is $0.325 and output is $1.30 per million tokens; cached input is $0.039. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.