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GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.
GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.
GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.
GPT-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.
GPT-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.
GPT-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.
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 VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.
DeepSeek VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.
DeepSeek VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.
Grok 3 Mini is xAI’s compact, reasoning-focused variant of the Grok 3 series. Released in February 2025 alongside the flagship model, it's optimized for cost-effective, transparent chain-of-thought reasoning via "Think" mode, with full multimodal input and access to xAI’s Colossus-trained capabilities. The latest version supports live preview on Azure AI Foundry and GitHub Models—combining speed, affordability, and logic traversal in real-time workflows.
Grok 3 Mini is xAI’s compact, reasoning-focused variant of the Grok 3 series. Released in February 2025 alongside the flagship model, it's optimized for cost-effective, transparent chain-of-thought reasoning via "Think" mode, with full multimodal input and access to xAI’s Colossus-trained capabilities. The latest version supports live preview on Azure AI Foundry and GitHub Models—combining speed, affordability, and logic traversal in real-time workflows.
Grok 3 Mini is xAI’s compact, reasoning-focused variant of the Grok 3 series. Released in February 2025 alongside the flagship model, it's optimized for cost-effective, transparent chain-of-thought reasoning via "Think" mode, with full multimodal input and access to xAI’s Colossus-trained capabilities. The latest version supports live preview on Azure AI Foundry and GitHub Models—combining speed, affordability, and logic traversal in real-time workflows.
Grok 3 Mini Fast is the low-latency, high-performance version of xAI’s Grok 3 Mini model. Released in beta around May 2025, it offers the same visible chain-of-thought reasoning as Grok 3 Mini but delivers responses significantly faster, powered by optimized infrastructure. It supports up to 131,072 tokens of context.
Grok 3 Mini Fast is the low-latency, high-performance version of xAI’s Grok 3 Mini model. Released in beta around May 2025, it offers the same visible chain-of-thought reasoning as Grok 3 Mini but delivers responses significantly faster, powered by optimized infrastructure. It supports up to 131,072 tokens of context.
Grok 3 Mini Fast is the low-latency, high-performance version of xAI’s Grok 3 Mini model. Released in beta around May 2025, it offers the same visible chain-of-thought reasoning as Grok 3 Mini but delivers responses significantly faster, powered by optimized infrastructure. It supports up to 131,072 tokens of context.
Grok 3 Mini Fast is xAI’s most recent, low-latency variant of the compact Grok 3 Mini model. It maintains full chain-of-thought “Think” reasoning and multimodal support while delivering faster response times. The model handles up to 131,072 tokens of context and is now widely accessible in beta via xAI API and select cloud platforms.
Grok 3 Mini Fast is xAI’s most recent, low-latency variant of the compact Grok 3 Mini model. It maintains full chain-of-thought “Think” reasoning and multimodal support while delivering faster response times. The model handles up to 131,072 tokens of context and is now widely accessible in beta via xAI API and select cloud platforms.
Grok 3 Mini Fast is xAI’s most recent, low-latency variant of the compact Grok 3 Mini model. It maintains full chain-of-thought “Think” reasoning and multimodal support while delivering faster response times. The model handles up to 131,072 tokens of context and is now widely accessible in beta via xAI API and select cloud platforms.
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.
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Mistral Large 2 is the second-generation flagship model from Mistral AI, released in July 2024. Also referenced as mistral-large-2407, it’s a 123 B-parameter dense LLM with a 128 K-token context window, supporting dozens of languages and 80+ coding languages. It excels in reasoning, code generation, mathematics, instruction-following, and function calling—designed for high throughput on single-node setups.
Pixtral Large is Mistral AI’s latest multimodal powerhouse, launched November 18, 2024. Built atop the 123B‑parameter Mistral Large 2, it features a 124B‑parameter multimodal decoder paired with a 1B‑parameter vision encoder, and supports a massive 128K‑token context window—enabling it to process up to 30 high-resolution images or ~300-page documents.
Pixtral Large is Mistral AI’s latest multimodal powerhouse, launched November 18, 2024. Built atop the 123B‑parameter Mistral Large 2, it features a 124B‑parameter multimodal decoder paired with a 1B‑parameter vision encoder, and supports a massive 128K‑token context window—enabling it to process up to 30 high-resolution images or ~300-page documents.
Pixtral Large is Mistral AI’s latest multimodal powerhouse, launched November 18, 2024. Built atop the 123B‑parameter Mistral Large 2, it features a 124B‑parameter multimodal decoder paired with a 1B‑parameter vision encoder, and supports a massive 128K‑token context window—enabling it to process up to 30 high-resolution images or ~300-page documents.
Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.
Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.
Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.
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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