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What is Olmo 3?

Olmo 3 constitutes an extensive series of open models that include versions with 7 billion and 32 billion parameters, delivering outstanding performance in areas such as base functionality, reasoning, instruction, and reinforcement learning, all while ensuring transparency throughout the development process, including access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a remarkable window of 65,536 tokens), and provenance tools. The backbone of these models is derived from the Dolma 3 dataset, which encompasses about 9 trillion tokens and employs a thoughtful mixture of web content, scientific research, programming code, and comprehensive documents; this meticulous strategy of pre-training, mid-training, and long-context usage results in base models that receive further refinement through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, leading to the emergence of the Think and Instruct versions. Importantly, the 32 billion Think model has earned recognition as the most formidable fully open reasoning model available thus far, showcasing a performance level that closely competes with that of proprietary models in disciplines such as mathematics, programming, and complex reasoning tasks, highlighting a considerable leap forward in the realm of open model innovation. This breakthrough not only emphasizes the capabilities of open-source models but also suggests a promising future where they can effectively rival conventional closed systems across a range of sophisticated applications, potentially reshaping the landscape of artificial intelligence.

What is Mercury Voice?

Mercury embodies a cutting-edge collection of diffusion large language models meticulously crafted to deliver exceptional LLM performance at impressive speeds, capable of processing over 1,000 tokens per second on commercial NVIDIA GPUs for instant AI applications. Engineered for compatibility with OpenAI, these models aim to effortlessly supplant conventional LLMs, making integration into existing AI systems simpler than ever. Notably, Mercury 2.5 emerges as the most advanced reasoning diffusion LLM, specifically designed for complex tasks where high performance and quality are of utmost importance. It features an extensive 260K context window, which facilitates sophisticated reasoning, the use of tools, and organized output, proving useful in a range of applications from rapid coding cycles to the creation of agents, customer support systems, and enterprise-level search capabilities. Furthermore, Mercury Voice is expertly optimized for voice agents, achieving an impressive time-to-first-token of under 170 ms while also supporting reasoning, tool usage, structured outputs, and a 128K context window. This makes it exceptionally adaptable for numerous applications, such as customer support, healthcare assistance, educational platforms, and interactive gaming experiences. In essence, the Mercury family is dedicated to expanding the frontiers of what AI can achieve in real-time scenarios, continuously striving for innovation and excellence. As they push the limits of technology, they open new avenues for enhancing user experiences across diverse sectors.

Media

Media

Integrations Supported

Integrations Supported

Claude Haiku 4.5
GPT-5.6 Luna
Gemini 3.5 Flash-Lite
OpenAI

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.04 per 1M tokens
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/blog/olmo3

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/models

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

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