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Inception: Mercury 3

mercury-3

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Mercury 3 is Inception's diffusion language model for fast chat, coding, and multi-step agents. It accepts and generates text, with adjustable reasoning, parallel tool calls, structured JSON output, and a shared 1,000,000-token context window. Responses can use up to 131,072 tokens, including reasoning, within the remaining context.

Modalities

Text → Text

Input / output price

$0.130 / $0.455 per 1M

Context

1M · max output 131K

Capabilities

ReasoningTool callingLong context

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.130
Output$0.455
Cached input$0.013

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00075
Per day
$0.3770
Per month (30 days)
$11.31

Mercury 3: input $0.13/M · output $0.455/M · cached input $0.013/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": "mercury-3", "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 mercury-3.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mercury-3",
    "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 Mercury 3 billed?
Input is $0.130 and output is $0.455 per million tokens; cached input is $0.013. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
1M 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.