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ease
features
design
support

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ease
features
design
support

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Description

Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.

Description

GPT-4.1 represents a significant upgrade in generative AI, with notable advancements in coding, instruction adherence, and handling long contexts. This model supports up to 1 million tokens of context, allowing it to tackle complex, multi-step tasks across various domains. GPT-4.1 outperforms earlier models in key benchmarks, particularly in coding accuracy, and is designed to streamline workflows for developers and businesses by improving task completion speed and reliability.

Description

Mercury, the groundbreaking creation from Inception Labs, represents the first large language model at a commercial scale that utilizes diffusion technology, achieving a remarkable tenfold increase in processing speed while also lowering costs in comparison to standard autoregressive models. Designed for exceptional performance in reasoning, coding, and the generation of structured text, Mercury can handle over 1000 tokens per second when operating on NVIDIA H100 GPUs, positioning it as one of the most rapid LLMs on the market. In contrast to traditional models that produce text sequentially, Mercury enhances its responses through a coarse-to-fine diffusion strategy, which boosts precision and minimizes instances of hallucination. Additionally, with the inclusion of Mercury Coder, a tailored coding module, developers are empowered to take advantage of advanced AI-assisted code generation that boasts remarkable speed and effectiveness. This innovative approach not only transforms coding practices but also sets a new benchmark for the capabilities of AI in various applications.

API Access

Has API

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Screenshots View All

Integrations

Brain MAX
Clojure
CodeQwen
DataGrip
Deep Infra
Elixir
GPT-4.1 mini
Inception Labs
IntelliJ IDEA
Java
Meta AI
Ollama
PHP
PyCharm
ReSharper
RustRover
SecondBrain
Snowflake Cortex AI
T3 Chat
WebStorm

Integrations

Brain MAX
Clojure
CodeQwen
DataGrip
Deep Infra
Elixir
GPT-4.1 mini
Inception Labs
IntelliJ IDEA
Java
Meta AI
Ollama
PHP
PyCharm
ReSharper
RustRover
SecondBrain
Snowflake Cortex AI
T3 Chat
WebStorm

Integrations

Brain MAX
Clojure
CodeQwen
DataGrip
Deep Infra
Elixir
GPT-4.1 mini
Inception Labs
IntelliJ IDEA
Java
Meta AI
Ollama
PHP
PyCharm
ReSharper
RustRover
SecondBrain
Snowflake Cortex AI
T3 Chat
WebStorm

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$2 per 1M tokens (input)
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/blog/code-llama-large-language-model-coding/

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/gpt-4-1/

Vendor Details

Company Name

Inception Labs

Founded

2024

Country

United States

Website

www.inceptionlabs.ai/

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