Using Mercury 3 on OpenRouter

Implementation guide · Mercury · Inception Labs

Serverless

OpenRouter exposes Mercury 3 through model ID inception/mercury-3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call inception/mercury-3 — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.35/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.35

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About Mercury 3

Mercury 3 is Inception's diffusion LLM (dLLM), released 2026-10-19 on the Inception API (model id mercury-3) and through OpenRouter, Baseten and Vercel. It has a 1M-token context window and up to 131,072 output tokens, takes text in and returns text, and supports tool calling and structured outputs via the OpenAI-compatible v1/chat/completions endpoint. Reasoning effort can be set to instant, low, medium or high, and temperature from 0.5 to 1.0. Inception reports 1,068 output tokens per second on NVIDIA GPUs and says the model is more than 40x larger in total parameters than Mercury 1 (absolute size not disclosed).

Full model details →

Model Specs

Released2026-10-19
Context1M

More Models on OpenRouter

Mercury 2Mercury 2.5 PreviewMercury 2.5
All models on OpenRouter →

Also available on(2)

Vercel AI Gateway$0.10/1MInception$0.20/1M
Compare all providers →

Provider

OpenRouter

OpenRouter, Inc.

New York, NY, USA