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What is Mistral NeMo?

We are excited to unveil Mistral NeMo, our latest and most sophisticated small model, boasting an impressive 12 billion parameters and a vast context length of 128,000 tokens, all available under the Apache 2.0 license. In collaboration with NVIDIA, Mistral NeMo stands out in its category for its exceptional reasoning capabilities, extensive world knowledge, and coding skills. Its architecture adheres to established industry standards, ensuring it is user-friendly and serves as a smooth transition for those currently using Mistral 7B. To encourage adoption by researchers and businesses alike, we are providing both pre-trained base models and instruction-tuned checkpoints, all under the Apache license. A remarkable feature of Mistral NeMo is its quantization awareness, which enables FP8 inference while maintaining high performance levels. Additionally, the model is well-suited for a range of global applications, showcasing its ability in function calling and offering a significant context window. When benchmarked against Mistral 7B, Mistral NeMo demonstrates a marked improvement in comprehending and executing intricate instructions, highlighting its advanced reasoning abilities and capacity to handle complex multi-turn dialogues. Furthermore, its design not only enhances its performance but also positions it as a formidable option for multi-lingual tasks, ensuring it meets the diverse needs of various use cases while paving the way for future innovations.

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

CSS
DataChain
Diaflow
EvalsOne
F#
Graydient AI
HoneyHive
Kiin
Mirascope
Mistral AI
OpenLIT
PI Prompts
Simplismart
StackAI
Superinterface
Toolmark
Unify AI
Wordware
bolt.diy

Integrations Supported

Claude Haiku 4.5

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

$0.04 per 1M tokens
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/mistral-nemo/

Company Facts

Organization Name

Inception

Company Location

United States

Company Website

www.inceptionlabs.ai/models

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

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