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Inception: Mercury 2.5 Preview

mercury-2.5-preview

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Mercury 2.5 Preview is Inception's latest and most intelligent diffusion language model. Instead of generating tokens strictly one at a time, it produces and refines multiple tokens in parallel, reaching up to 1,107 tokens per second on standard GPUs. It delivers a 10+ point intelligence gain over Mercury 2, with tunable reasoning, parallel tool calls, schema-aligned JSON output, and a 260K context window. It is built for latency-sensitive production work such as search agents, voice pipelines, customer support, rapid coding iteration, and coding subagents.

Modalities

Text → Text

Input / output price

$0.052 / $0.195 per 1M

Context

260K · max output 66K

Capabilities

ReasoningTool callingLong context

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.052
Output$0.195
Cached input$0.0052

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00031
Per day
$0.1560
Per month (30 days)
$4.68

Mercury 2.5 Preview: input $0.052/M · output $0.195/M · cached input $0.0052/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-2.5-preview", "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-2.5-preview.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mercury-2.5-preview",
    "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 2.5 Preview billed?
Input is $0.052 and output is $0.195 per million tokens; cached input is $0.0052. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
260K 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.