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Meta Llama 4 is the latest generation of Meta’s large language model series. It features a mixture-of-experts (MoE) architecture, making it both highly efficient and powerful. Llama 4 is natively multimodal—supporting text and image inputs—and offers three key variants: Scout (17B active parameters, 10 M token context), Maverick (17B active, 1 M token context), and Behemoth (288B active, 2 T total parameters; still in development). Designed for long-context reasoning, multilingual understanding, and open-weight availability (with license restrictions), Llama 4 excels in benchmarks and versatility.


Meta Llama 4 is the latest generation of Meta’s large language model series. It features a mixture-of-experts (MoE) architecture, making it both highly efficient and powerful. Llama 4 is natively multimodal—supporting text and image inputs—and offers three key variants: Scout (17B active parameters, 10 M token context), Maverick (17B active, 1 M token context), and Behemoth (288B active, 2 T total parameters; still in development). Designed for long-context reasoning, multilingual understanding, and open-weight availability (with license restrictions), Llama 4 excels in benchmarks and versatility.


Meta Llama 4 is the latest generation of Meta’s large language model series. It features a mixture-of-experts (MoE) architecture, making it both highly efficient and powerful. Llama 4 is natively multimodal—supporting text and image inputs—and offers three key variants: Scout (17B active parameters, 10 M token context), Maverick (17B active, 1 M token context), and Behemoth (288B active, 2 T total parameters; still in development). Designed for long-context reasoning, multilingual understanding, and open-weight availability (with license restrictions), Llama 4 excels in benchmarks and versatility.


Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.


Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.


Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.

Llama 3.2 Vision is Meta’s first open-source multimodal Llama model series, released on September 25, 2024. Available in 11 B and 90 B parameter sizes, it merges advanced image understanding with a massive 128 K‑token text context. Optimized for vision reasoning, captioning, document QA, and visual math tasks, it outperforms many closed-source multimodal models.


Llama 3.2 Vision is Meta’s first open-source multimodal Llama model series, released on September 25, 2024. Available in 11 B and 90 B parameter sizes, it merges advanced image understanding with a massive 128 K‑token text context. Optimized for vision reasoning, captioning, document QA, and visual math tasks, it outperforms many closed-source multimodal models.


Llama 3.2 Vision is Meta’s first open-source multimodal Llama model series, released on September 25, 2024. Available in 11 B and 90 B parameter sizes, it merges advanced image understanding with a massive 128 K‑token text context. Optimized for vision reasoning, captioning, document QA, and visual math tasks, it outperforms many closed-source multimodal models.


PromptHero is the go-to search engine and creative hub for prompt engineering across AI image and text models—like Stable Diffusion, Midjourney, DALL·E, and even ChatGPT Image. It’s a living archive where creators worldwide share their best prompt recipes alongside the images they produce, giving you clickable inspiration, context, and hands-on examples—sort of like being in the brain of a prompt engineer, without needing to already be one.


PromptHero is the go-to search engine and creative hub for prompt engineering across AI image and text models—like Stable Diffusion, Midjourney, DALL·E, and even ChatGPT Image. It’s a living archive where creators worldwide share their best prompt recipes alongside the images they produce, giving you clickable inspiration, context, and hands-on examples—sort of like being in the brain of a prompt engineer, without needing to already be one.


PromptHero is the go-to search engine and creative hub for prompt engineering across AI image and text models—like Stable Diffusion, Midjourney, DALL·E, and even ChatGPT Image. It’s a living archive where creators worldwide share their best prompt recipes alongside the images they produce, giving you clickable inspiration, context, and hands-on examples—sort of like being in the brain of a prompt engineer, without needing to already be one.


Llama Nemotron Ultra is NVIDIA’s open-source reasoning AI model engineered for deep problem solving, advanced coding, and scientific analysis across business, enterprise, and research applications. It leads open models in intelligence and reasoning benchmarks, excelling at scientific, mathematical, and programming challenges. Building on Meta Llama 3.1, it is trained for complex, human-aligned chat, agentic workflows, and retrieval-augmented generation. Llama Nemotron Ultra is designed to be efficient, cost-effective, and highly adaptable, available via Hugging Face and as an NVIDIA NIM inference microservice for scalable deployment.


Llama Nemotron Ultra is NVIDIA’s open-source reasoning AI model engineered for deep problem solving, advanced coding, and scientific analysis across business, enterprise, and research applications. It leads open models in intelligence and reasoning benchmarks, excelling at scientific, mathematical, and programming challenges. Building on Meta Llama 3.1, it is trained for complex, human-aligned chat, agentic workflows, and retrieval-augmented generation. Llama Nemotron Ultra is designed to be efficient, cost-effective, and highly adaptable, available via Hugging Face and as an NVIDIA NIM inference microservice for scalable deployment.


Llama Nemotron Ultra is NVIDIA’s open-source reasoning AI model engineered for deep problem solving, advanced coding, and scientific analysis across business, enterprise, and research applications. It leads open models in intelligence and reasoning benchmarks, excelling at scientific, mathematical, and programming challenges. Building on Meta Llama 3.1, it is trained for complex, human-aligned chat, agentic workflows, and retrieval-augmented generation. Llama Nemotron Ultra is designed to be efficient, cost-effective, and highly adaptable, available via Hugging Face and as an NVIDIA NIM inference microservice for scalable deployment.

PromptBase is a marketplace and platform for discovering, buying, and selling prompts optimized for popular AI models. It helps creators monetize prompt engineering while giving teams access to ready-made prompts for tasks like copywriting, image generation, research, and data extraction. Listings typically include example outputs, usage instructions, and model compatibility to reduce trial-and-error. Buyers can search by model, category, and use case, then customize prompts for brand or workflow needs. For sellers, PromptBase offers storefront tools, pricing controls, and analytics to improve listings over time. The result is a curated catalog that saves time, improves output quality, and standardizes AI usage across projects.

PromptBase is a marketplace and platform for discovering, buying, and selling prompts optimized for popular AI models. It helps creators monetize prompt engineering while giving teams access to ready-made prompts for tasks like copywriting, image generation, research, and data extraction. Listings typically include example outputs, usage instructions, and model compatibility to reduce trial-and-error. Buyers can search by model, category, and use case, then customize prompts for brand or workflow needs. For sellers, PromptBase offers storefront tools, pricing controls, and analytics to improve listings over time. The result is a curated catalog that saves time, improves output quality, and standardizes AI usage across projects.

PromptBase is a marketplace and platform for discovering, buying, and selling prompts optimized for popular AI models. It helps creators monetize prompt engineering while giving teams access to ready-made prompts for tasks like copywriting, image generation, research, and data extraction. Listings typically include example outputs, usage instructions, and model compatibility to reduce trial-and-error. Buyers can search by model, category, and use case, then customize prompts for brand or workflow needs. For sellers, PromptBase offers storefront tools, pricing controls, and analytics to improve listings over time. The result is a curated catalog that saves time, improves output quality, and standardizes AI usage across projects.


ChatHub is a platform that allows users to simultaneously interact with multiple AI chatbots, providing diverse AI-generated responses for enhanced insights and confidence. It supports top AI models like GPT-5, Claude 4, Gemini 2.5, Llama 3.3, and over 20 others, all accessible under one subscription. Users can input one question and receive multiple perspectives from these models, helping to cross-verify information and minimize hallucinations. ChatHub also includes AI-powered image generation using models such as DALL-E 3 and Stable Diffusion, file upload and analysis for documents and images, and features like AI-powered web search, code preview, prompt libraries, and productivity tools.


ChatHub is a platform that allows users to simultaneously interact with multiple AI chatbots, providing diverse AI-generated responses for enhanced insights and confidence. It supports top AI models like GPT-5, Claude 4, Gemini 2.5, Llama 3.3, and over 20 others, all accessible under one subscription. Users can input one question and receive multiple perspectives from these models, helping to cross-verify information and minimize hallucinations. ChatHub also includes AI-powered image generation using models such as DALL-E 3 and Stable Diffusion, file upload and analysis for documents and images, and features like AI-powered web search, code preview, prompt libraries, and productivity tools.


ChatHub is a platform that allows users to simultaneously interact with multiple AI chatbots, providing diverse AI-generated responses for enhanced insights and confidence. It supports top AI models like GPT-5, Claude 4, Gemini 2.5, Llama 3.3, and over 20 others, all accessible under one subscription. Users can input one question and receive multiple perspectives from these models, helping to cross-verify information and minimize hallucinations. ChatHub also includes AI-powered image generation using models such as DALL-E 3 and Stable Diffusion, file upload and analysis for documents and images, and features like AI-powered web search, code preview, prompt libraries, and productivity tools.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

GudPrompt is an AI-powered prompt engineering and workflow automation platform designed for teams and creators who want to build, organize, and optimize their AI prompts. It allows users to create prompt libraries, version prompts, collaborate with teammates, and run complex multi-step AI workflows. With its prompt templates, testing tools, and multi-model support, GudPrompt helps users generate consistent, high-quality AI outputs across various applications.

GudPrompt is an AI-powered prompt engineering and workflow automation platform designed for teams and creators who want to build, organize, and optimize their AI prompts. It allows users to create prompt libraries, version prompts, collaborate with teammates, and run complex multi-step AI workflows. With its prompt templates, testing tools, and multi-model support, GudPrompt helps users generate consistent, high-quality AI outputs across various applications.

GudPrompt is an AI-powered prompt engineering and workflow automation platform designed for teams and creators who want to build, organize, and optimize their AI prompts. It allows users to create prompt libraries, version prompts, collaborate with teammates, and run complex multi-step AI workflows. With its prompt templates, testing tools, and multi-model support, GudPrompt helps users generate consistent, high-quality AI outputs across various applications.

Versuno is an all-in-one AI platform for managing prompts, personas, system prompts, contexts, and knowledge bases in a unified, searchable workspace. It lets users create, version like GitHub, test across 50+ models from OpenAI, Anthropic, and Google, evaluate performance, and collaborate seamlessly. With a built-in Prompt Engineer named Sage for co-creation and an AI Assets Hub for community sharing, it eliminates scattered notes and recreations, saving 5+ hours weekly. Perfect for individuals, prompt engineers, and teams optimizing AI workflows data-driven.

Versuno is an all-in-one AI platform for managing prompts, personas, system prompts, contexts, and knowledge bases in a unified, searchable workspace. It lets users create, version like GitHub, test across 50+ models from OpenAI, Anthropic, and Google, evaluate performance, and collaborate seamlessly. With a built-in Prompt Engineer named Sage for co-creation and an AI Assets Hub for community sharing, it eliminates scattered notes and recreations, saving 5+ hours weekly. Perfect for individuals, prompt engineers, and teams optimizing AI workflows data-driven.

Versuno is an all-in-one AI platform for managing prompts, personas, system prompts, contexts, and knowledge bases in a unified, searchable workspace. It lets users create, version like GitHub, test across 50+ models from OpenAI, Anthropic, and Google, evaluate performance, and collaborate seamlessly. With a built-in Prompt Engineer named Sage for co-creation and an AI Assets Hub for community sharing, it eliminates scattered notes and recreations, saving 5+ hours weekly. Perfect for individuals, prompt engineers, and teams optimizing AI workflows data-driven.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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