Grok 2 1212 Review - Everything You Need to Know

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DALL·E 2 is an AI model developed by OpenAI that generates images from text descriptions (prompts). It improves upon its predecessor, DALL·E 1, by producing higher-resolution, more realistic, and creative images based on user input. The model can also edit existing images, expand images beyond their original borders (inpainting), and create artistic interpretations of text descriptions. ❗ Note: OpenAI has phased out DALL·E 2 in favor of DALL·E 3, which offers more advanced image generation.

OpenAI Dall-E 2

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DALL·E 2 is an AI model developed by OpenAI that generates images from text descriptions (prompts). It improves upon its predecessor, DALL·E 1, by producing higher-resolution, more realistic, and creative images based on user input. The model can also edit existing images, expand images beyond their original borders (inpainting), and create artistic interpretations of text descriptions. ❗ Note: OpenAI has phased out DALL·E 2 in favor of DALL·E 3, which offers more advanced image generation.

OpenAI Dall-E 2

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DALL·E 2 is an AI model developed by OpenAI that generates images from text descriptions (prompts). It improves upon its predecessor, DALL·E 1, by producing higher-resolution, more realistic, and creative images based on user input. The model can also edit existing images, expand images beyond their original borders (inpainting), and create artistic interpretations of text descriptions. ❗ Note: OpenAI has phased out DALL·E 2 in favor of DALL·E 3, which offers more advanced image generation.

OpenAI GPT 4 Turbo

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GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.

OpenAI GPT 4 Turbo

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GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.

OpenAI GPT 4 Turbo

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GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.

Poe AI

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Poe.com is a comprehensive AI chatbot aggregation platform developed by Quora, providing users with unified access to a wide range of conversational AI models from various leading providers, including OpenAI, Anthropic, Google, and Meta. It simplifies the process of discovering and interacting with different AI chatbots and also empowers users to create and monetize their own custom AI bots.

Poe AI

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Poe.com is a comprehensive AI chatbot aggregation platform developed by Quora, providing users with unified access to a wide range of conversational AI models from various leading providers, including OpenAI, Anthropic, Google, and Meta. It simplifies the process of discovering and interacting with different AI chatbots and also empowers users to create and monetize their own custom AI bots.

Poe AI

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Poe.com is a comprehensive AI chatbot aggregation platform developed by Quora, providing users with unified access to a wide range of conversational AI models from various leading providers, including OpenAI, Anthropic, Google, and Meta. It simplifies the process of discovering and interacting with different AI chatbots and also empowers users to create and monetize their own custom AI bots.

Meta Llama 4

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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

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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

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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 3

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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

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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

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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.

Grok 3 Mini

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

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

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-fast

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

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

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.

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DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.

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DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.

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