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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 4 Scout is Meta’s compact and high-performance entry in the Llama 4 family, released April 5, 2025. Built on a mixture-of-experts (MoE) architecture with 17B active parameters (109B total) and a staggering 10‑million-token context window, it delivers top-tier speed and long-context reasoning while fitting on a single Nvidia H100 GPU. It outperforms models like Google's Gemma 3, Gemini 2.0 Flash‑Lite, and Mistral 3.1 across benchmarks.


Llama 4 Scout is Meta’s compact and high-performance entry in the Llama 4 family, released April 5, 2025. Built on a mixture-of-experts (MoE) architecture with 17B active parameters (109B total) and a staggering 10‑million-token context window, it delivers top-tier speed and long-context reasoning while fitting on a single Nvidia H100 GPU. It outperforms models like Google's Gemma 3, Gemini 2.0 Flash‑Lite, and Mistral 3.1 across benchmarks.


Llama 4 Scout is Meta’s compact and high-performance entry in the Llama 4 family, released April 5, 2025. Built on a mixture-of-experts (MoE) architecture with 17B active parameters (109B total) and a staggering 10‑million-token context window, it delivers top-tier speed and long-context reasoning while fitting on a single Nvidia H100 GPU. It outperforms models like Google's Gemma 3, Gemini 2.0 Flash‑Lite, and Mistral 3.1 across benchmarks.

Llama 4 Maverick is Meta’s powerful mid-sized model in the Llama 4 series, released April 5, 2025. Built with a mixture-of-experts (MoE) architecture featuring 17 B active parameters (out of 400 B total) and 128 experts, it supports a 1 million-token context window and native multimodality for text and image inputs. It ranks near the top of competitive benchmarks—surpassing GPT‑4o and Gemini 2.0 Flash in reasoning, coding, and visual tasks.


Llama 4 Maverick is Meta’s powerful mid-sized model in the Llama 4 series, released April 5, 2025. Built with a mixture-of-experts (MoE) architecture featuring 17 B active parameters (out of 400 B total) and 128 experts, it supports a 1 million-token context window and native multimodality for text and image inputs. It ranks near the top of competitive benchmarks—surpassing GPT‑4o and Gemini 2.0 Flash in reasoning, coding, and visual tasks.


Llama 4 Maverick is Meta’s powerful mid-sized model in the Llama 4 series, released April 5, 2025. Built with a mixture-of-experts (MoE) architecture featuring 17 B active parameters (out of 400 B total) and 128 experts, it supports a 1 million-token context window and native multimodality for text and image inputs. It ranks near the top of competitive benchmarks—surpassing GPT‑4o and Gemini 2.0 Flash in reasoning, coding, and visual 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 3.3 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.

Prompt Perfekt is an AI-powered platform for crafting, optimizing, and managing prompts across language and image models like GPT‑4, Claude, Midjourney, and Stable Diffusion. It provides tools like Auto‑Tune, Arena (for prompt testing), a Chrome extension, and an API—helping users generate clearer, more effective prompts in seconds.

Prompt Perfekt is an AI-powered platform for crafting, optimizing, and managing prompts across language and image models like GPT‑4, Claude, Midjourney, and Stable Diffusion. It provides tools like Auto‑Tune, Arena (for prompt testing), a Chrome extension, and an API—helping users generate clearer, more effective prompts in seconds.

Prompt Perfekt is an AI-powered platform for crafting, optimizing, and managing prompts across language and image models like GPT‑4, Claude, Midjourney, and Stable Diffusion. It provides tools like Auto‑Tune, Arena (for prompt testing), a Chrome extension, and an API—helping users generate clearer, more effective prompts in seconds.

Easy-Peasy.AI is a comprehensive, all-in-one AI platform offering more than 200 content creation, automation, and productivity tools designed for marketers, creators, brands, and individuals. Built to enable anyone to leverage generative AI without technical know-how, Easy-Peasy.AI includes real-time chatbots, no-code bot builder, powerful text-to-speech and speech-to-text modules, AI image and video generation, and a library of templates for writing, marketing, and design. Its intuitive interface and diverse technology stack—GPT-4, Claude 3, Llama 3, Mixtral—make it possible to create, edit, and publish everything from emails and blog posts to social media captions, art, audio, and video with just a few clicks.

Easy-Peasy.AI is a comprehensive, all-in-one AI platform offering more than 200 content creation, automation, and productivity tools designed for marketers, creators, brands, and individuals. Built to enable anyone to leverage generative AI without technical know-how, Easy-Peasy.AI includes real-time chatbots, no-code bot builder, powerful text-to-speech and speech-to-text modules, AI image and video generation, and a library of templates for writing, marketing, and design. Its intuitive interface and diverse technology stack—GPT-4, Claude 3, Llama 3, Mixtral—make it possible to create, edit, and publish everything from emails and blog posts to social media captions, art, audio, and video with just a few clicks.

Easy-Peasy.AI is a comprehensive, all-in-one AI platform offering more than 200 content creation, automation, and productivity tools designed for marketers, creators, brands, and individuals. Built to enable anyone to leverage generative AI without technical know-how, Easy-Peasy.AI includes real-time chatbots, no-code bot builder, powerful text-to-speech and speech-to-text modules, AI image and video generation, and a library of templates for writing, marketing, and design. Its intuitive interface and diverse technology stack—GPT-4, Claude 3, Llama 3, Mixtral—make it possible to create, edit, and publish everything from emails and blog posts to social media captions, art, audio, and video with just a few clicks.


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.


Heuristica is an AI-powered knowledge exploration and visual learning platform that transforms how students, educators, researchers, and lifelong learners understand complex topics using interactive concept maps. By leveraging advanced LLMs like ChatGPT, Claude, Gemini, and Llama, the tool turns ideas into branching concept maps on an infinite canvas—no prompt engineering required. Simply clicking intuitive buttons labeled prompts like "Explain Like...", "Analogy", or topic-specific nodes enables deep exploration. Users can enrich maps by integrating content from sources like Wikipedia, arXiv, PubMed, Semantic Scholar, YouTube, podcasts, news, and PDFs. From these visual structures, Heuristica can generate study tools—flashcards, quizzes, study notes, essays, summaries, blog posts, and lesson plans. The platform personalizes your learning via custom prompts, multilingual support (over 20 languages), and interactive chats with your concept maps.


Heuristica is an AI-powered knowledge exploration and visual learning platform that transforms how students, educators, researchers, and lifelong learners understand complex topics using interactive concept maps. By leveraging advanced LLMs like ChatGPT, Claude, Gemini, and Llama, the tool turns ideas into branching concept maps on an infinite canvas—no prompt engineering required. Simply clicking intuitive buttons labeled prompts like "Explain Like...", "Analogy", or topic-specific nodes enables deep exploration. Users can enrich maps by integrating content from sources like Wikipedia, arXiv, PubMed, Semantic Scholar, YouTube, podcasts, news, and PDFs. From these visual structures, Heuristica can generate study tools—flashcards, quizzes, study notes, essays, summaries, blog posts, and lesson plans. The platform personalizes your learning via custom prompts, multilingual support (over 20 languages), and interactive chats with your concept maps.


Heuristica is an AI-powered knowledge exploration and visual learning platform that transforms how students, educators, researchers, and lifelong learners understand complex topics using interactive concept maps. By leveraging advanced LLMs like ChatGPT, Claude, Gemini, and Llama, the tool turns ideas into branching concept maps on an infinite canvas—no prompt engineering required. Simply clicking intuitive buttons labeled prompts like "Explain Like...", "Analogy", or topic-specific nodes enables deep exploration. Users can enrich maps by integrating content from sources like Wikipedia, arXiv, PubMed, Semantic Scholar, YouTube, podcasts, news, and PDFs. From these visual structures, Heuristica can generate study tools—flashcards, quizzes, study notes, essays, summaries, blog posts, and lesson plans. The platform personalizes your learning via custom prompts, multilingual support (over 20 languages), and interactive chats with your concept maps.


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.
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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