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Grok 3 is the latest flagship chatbot by Elon Musk’s xAI, described as "the world’s smartest AI." It was trained on a massive 200,000‑GPU supercomputer and offers tenfold more computing power than Grok 2. Equipped with two reasoning modes—Think and Big Brain—and featuring DeepSearch (a contextual web-and-X research tool), Grok 3 excels in math, science, coding, and truth-seeking tasks—all while offering fast, lively conversational style.
Grok 3 is the latest flagship chatbot by Elon Musk’s xAI, described as "the world’s smartest AI." It was trained on a massive 200,000‑GPU supercomputer and offers tenfold more computing power than Grok 2. Equipped with two reasoning modes—Think and Big Brain—and featuring DeepSearch (a contextual web-and-X research tool), Grok 3 excels in math, science, coding, and truth-seeking tasks—all while offering fast, lively conversational style.
Grok 3 is the latest flagship chatbot by Elon Musk’s xAI, described as "the world’s smartest AI." It was trained on a massive 200,000‑GPU supercomputer and offers tenfold more computing power than Grok 2. Equipped with two reasoning modes—Think and Big Brain—and featuring DeepSearch (a contextual web-and-X research tool), Grok 3 excels in math, science, coding, and truth-seeking tasks—all while offering fast, lively conversational style.
Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.
Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.
Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.
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.
anus Pro 7B is DeepSeek’s flagship open-source multimodal AI model, unifying vision understanding and text-to-image generation within a single transformer architecture. Built on DeepSeek‑LLM‑7B, it uses a decoupled visual encoding approach paired with SigLIP‑L and VQ tokenizer, delivering superior visual fidelity, prompt alignment, and stability across tasks—benchmarked ahead of OpenAI’s DALL‑E 3 and Stable Diffusion variants.
anus Pro 7B is DeepSeek’s flagship open-source multimodal AI model, unifying vision understanding and text-to-image generation within a single transformer architecture. Built on DeepSeek‑LLM‑7B, it uses a decoupled visual encoding approach paired with SigLIP‑L and VQ tokenizer, delivering superior visual fidelity, prompt alignment, and stability across tasks—benchmarked ahead of OpenAI’s DALL‑E 3 and Stable Diffusion variants.
anus Pro 7B is DeepSeek’s flagship open-source multimodal AI model, unifying vision understanding and text-to-image generation within a single transformer architecture. Built on DeepSeek‑LLM‑7B, it uses a decoupled visual encoding approach paired with SigLIP‑L and VQ tokenizer, delivering superior visual fidelity, prompt alignment, and stability across tasks—benchmarked ahead of OpenAI’s DALL‑E 3 and Stable Diffusion variants.
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.
Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.
Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.
Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.
Grok 2 – 1212 is xAI’s enhanced version of Grok 2, released December 12, 2024. It’s designed to be faster—up to 3× speed boost—with sharper accuracy, improved instruction-following, and stronger multilingual support. It includes web search, citations, and the Aurora image-generation feature. Now available to all users on X, with Premium tiers getting higher usage limits.
Grok 2 – 1212 is xAI’s enhanced version of Grok 2, released December 12, 2024. It’s designed to be faster—up to 3× speed boost—with sharper accuracy, improved instruction-following, and stronger multilingual support. It includes web search, citations, and the Aurora image-generation feature. Now available to all users on X, with Premium tiers getting higher usage limits.
Grok 2 – 1212 is xAI’s enhanced version of Grok 2, released December 12, 2024. It’s designed to be faster—up to 3× speed boost—with sharper accuracy, improved instruction-following, and stronger multilingual support. It includes web search, citations, and the Aurora image-generation feature. Now available to all users on X, with Premium tiers getting higher usage limits.
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 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.
Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.
Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.
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.
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
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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