Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Specs
inception/mercury-2.5How to use Mercury 2.5 in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID inception/mercury-2.5:
Prefer no code? Many tools in our AI tools directory run on models like this one.
More models from Inception
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
Questions about Mercury 2.5
What is Mercury 2.5?
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...
How big is the context window of Mercury 2.5?
Mercury 2.5 can read up to 260,000 tokens in one request, roughly 195,000 words.
How much does Mercury 2.5 cost?
Through OpenRouter, Mercury 2.5 costs about $0.04 / 1M tokens for input and $0.15 / 1M tokens for output. Prices change, so check before large jobs.
Is Mercury 2.5 open source?
Mercury 2.5 does not have downloadable weights. You use it through Inception or an API provider.
What can Mercury 2.5 take as input?
Mercury 2.5 accepts text and produces text.
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Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 8 Sep 2026.