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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-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.
GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.
GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.
Grok 2 is xAI’s second-generation chatbot that extends Grok’s capabilities to include real-time web access, multimodal output (text, vision, image generation via FLUX.1), and improved reasoning performance. It’s available to X Premium and Premium+ users and through xAI’s enterprise API.
Grok 2 is xAI’s second-generation chatbot that extends Grok’s capabilities to include real-time web access, multimodal output (text, vision, image generation via FLUX.1), and improved reasoning performance. It’s available to X Premium and Premium+ users and through xAI’s enterprise API.
Grok 2 is xAI’s second-generation chatbot that extends Grok’s capabilities to include real-time web access, multimodal output (text, vision, image generation via FLUX.1), and improved reasoning performance. It’s available to X Premium and Premium+ users and through xAI’s enterprise API.
Gemini 2.5 Pro Preview TTS is Google DeepMind’s most powerful text-to-speech model in the Gemini 2.5 series, available in preview. It generates natural-sounding audio—from single-speaker readings to multi-speaker dialogue—while offering fine-grained control over voice style, emotion, pacing, and cadence. Designed for high-fidelity podcasts, audiobooks, and professional voice workflows.
Gemini 2.5 Pro Preview TTS is Google DeepMind’s most powerful text-to-speech model in the Gemini 2.5 series, available in preview. It generates natural-sounding audio—from single-speaker readings to multi-speaker dialogue—while offering fine-grained control over voice style, emotion, pacing, and cadence. Designed for high-fidelity podcasts, audiobooks, and professional voice workflows.
Gemini 2.5 Pro Preview TTS is Google DeepMind’s most powerful text-to-speech model in the Gemini 2.5 series, available in preview. It generates natural-sounding audio—from single-speaker readings to multi-speaker dialogue—while offering fine-grained control over voice style, emotion, pacing, and cadence. Designed for high-fidelity podcasts, audiobooks, and professional voice workflows.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
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.
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 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
Grok 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
Grok 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.
Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.
Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.
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.
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.
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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