Project AURIONAI Use-Cases Research & Innovation
Inception (Inception Labs)
LLM

Mercury

First commercially available diffusion-based LLM from Inception, launched in February 2025 with the Mercury Coder models.

Inception (Inception Labs)Inception (Inception Labs)USAMercury familyFamily
Figure from the Mercury paper: coding quality against output speed for Mercury Coder and other small models.
Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
ReleasedFeb 2025
Opennessunknown
Runs onnot in the notes
Statusnot in the notes

R&D Topics

Diffusion language modelsexemplar

Identity

Developer
Inception (Inception Labs)
Family
Mercury family
Released
Feb 2025 sourcesinferred from page
Weights published
–
Record checked
11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
diffusion Transformer-parameterised diffusion LLM trained to predict multiple tokens in parallel; first release was Mercury Coder (Mini and Small)
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
API
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
Paper reports 1109 tokens/s (Coder Mini) and 737 tokens/s (Coder Small) on H100, measured by Artificial Analysis
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. inceptionlabs.ai/blog/mercury-refreshed https://inceptionlabs.ai/blog/mercury-refreshed
  2. arxiv.org/abs/2506.17298 https://arxiv.org/abs/2506.17298

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mercury", https://aurion.semai.id/models/inception-labs-mercury/, records of October 2026.