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What is Mercury 2?

Mercury 2 signifies a revolutionary leap in reasoning models, particularly tailored for instantaneous voice interactions, as it can promptly respond to incoming calls. In contrast to conventional autoregressive models that often leave callers waiting in silence while they generate responses sequentially, Mercury 2 uses a diffusion large language model architecture that can produce more than 1000 tokens per second on standard NVIDIA GPUs. This extraordinary processing speed enables it to finalize a complete reasoning cycle and start speaking in a timeframe that harmonizes with the natural flow of conversation, effectively reducing the usual wait time from several seconds to around 300 milliseconds. The functionality of Mercury models revolves around converting clear text into noise, after which a traditional Transformer is trained to reverse this process and predict the original text simultaneously across all positions. By adopting a denoising strategy that processes multiple tokens concurrently, the generation process becomes more efficient, achieving speeds comparable to customized silicon on NVIDIA H100s while enhancing responsiveness in voice applications. Consequently, Mercury 2 not only improves user interactions but also establishes a new benchmark for the field of interactive voice technology, paving the way for future advancements. With its innovative design, it promises to revolutionize the way users engage with voice systems.

What is Celeris-1?

Celeris-1 distinguishes itself as a rapid and adaptable language model platform, enhanced by a diffusion model that provides state-of-the-art intelligence at remarkable speeds. In contrast to traditional autoregressive models that produce tokens one after another, Celeris utilizes a diffusion-based inference architecture that facilitates concurrent generation, leading to response times that can be recorded in just milliseconds. On the MMLU-Pro benchmark, Celeris-1 achieves an impressive accuracy rate of 75.9%, with a median response time of 158 milliseconds and an extraordinary output rate of 1,664 tokens per second, placing it in close proximity to top models while functioning more than ten times faster. This robust model is available through an API compatible with OpenAI, making it easy for developers to integrate it into their existing SDKs and applications with minimal effort. Moreover, it features streaming capabilities that cater to real-time applications, enabling response times as quick as 24 milliseconds without any interruptions or delays, which makes it particularly suitable for interactive scenarios. Additionally, Celeris-1’s innovative architecture not only enhances its performance but also sets a new standard for future language model development. Overall, Celeris-1 signifies a remarkable leap forward in the efficiency and capability of language models.

Media

Media

Integrations Supported

OpenAI
Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
Pipecat
Retell AI
Vapi AI

Integrations Supported

OpenAI
Cerebras
GPT-4.1
Groq
Inception Labs
LiveKit
Pipecat
Retell AI
Vapi AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0.20 per 1M tokens
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/blog/mercury-2-the-first-reasoning-model-fast-enough-to-pick-up-the-phone

Company Facts

Organization Name

Celeris-1

Company Location

United States

Company Website

celeris.ai/

Categories and Features

Categories and Features

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Popular Alternatives

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