Mercury 2Inception
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Uni-1Luma AI
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About
Mercury 2 is the first reasoning model fast enough to pick up the phone, a reasoning diffusion language model built for real-time voice agents. Instead of making callers wait through seconds of dead air while an autoregressive model generates thinking tokens one by one, Mercury 2 uses a diffusion large language model architecture to generate tokens in parallel, decoding 1000+ tokens per second on standard NVIDIA GPUs. That speed is fast enough to run a full reasoning pass and start speaking within the latency budget of a natural conversation, reducing the cost of reasoning from seconds of silence to roughly 300 milliseconds. Mercury models work by corrupting clean text into noise, then training a standard Transformer to reverse the process and predict clean text across all positions simultaneously. Because each denoising pass touches many tokens, generation uses the GPU more efficiently than one-token-at-a-time decoding, making custom-silicon-like speed possible on NVIDIA H100s.
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About
UNI-1 is a multimodal artificial intelligence model developed by Luma AI that unifies visual generation and reasoning capabilities within a single architecture, representing a step toward multimodal general intelligence. It was designed to overcome the limitations of traditional AI pipelines, where language models, image generators, and other systems operate independently without shared reasoning. UNI-1 integrates these capabilities so that language, visual understanding, and image generation work together inside one system, allowing the model to reason about scenes, interpret instructions, and generate visual outputs that follow logical and spatial constraints. At its core, UNI-1 is a decoder-only autoregressive transformer that processes text and images as a single interleaved sequence of tokens, enabling the model to treat language and visual information within the same computational framework rather than through separate encoders.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Voice AI infrastructure teams that need low-latency reasoning models for phone agents, tool-calling workflows, and natural customer conversations
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Audience
AI researchers, developers, and creative technology teams wanting a model capable of reasoning about instructions and generating coherent visual media such as images or scenes
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationInception
United States
www.inceptionlabs.ai/blog/mercury-2-the-first-reasoning-model-fast-enough-to-pick-up-the-phone
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Company InformationLuma AI
Founded: 2021
United States
lumalabs.ai/uni-1
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Categories |
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Integrations
Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
Luma AI
OpenAI
Pipecat
Retell AI
Vapi AI
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Integrations
Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
Luma AI
OpenAI
Pipecat
Retell AI
Vapi AI
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