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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.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.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 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.


DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.


DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.


DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.


Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.


Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.


Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.


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 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.


Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.


Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.


Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.


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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