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Allganize is a leading enterprise AI platform specializing in Large Language Model (LLM) solutions to enhance business efficiency and growth. It offers a comprehensive suite of AI-powered tools, including an LLM App Builder, Cognitive Search, and AI Answer Bot, designed to automate processes, improve data handling, and optimize customer support.


Allganize is a leading enterprise AI platform specializing in Large Language Model (LLM) solutions to enhance business efficiency and growth. It offers a comprehensive suite of AI-powered tools, including an LLM App Builder, Cognitive Search, and AI Answer Bot, designed to automate processes, improve data handling, and optimize customer support.


Allganize is a leading enterprise AI platform specializing in Large Language Model (LLM) solutions to enhance business efficiency and growth. It offers a comprehensive suite of AI-powered tools, including an LLM App Builder, Cognitive Search, and AI Answer Bot, designed to automate processes, improve data handling, and optimize customer support.


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 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.


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 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.


DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.


DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.


DeepSeek R1 0528 is the May 28, 2025 update to DeepSeek’s flagship reasoning model. It brings significantly enhanced benchmark performance, deeper chain-of-thought reasoning (now using ~23K tokens per problem), reduced hallucinations, and support for JSON output, function calling, multi-round chat, and context caching.


DeepSeek R1 0528 is the May 28, 2025 update to DeepSeek’s flagship reasoning model. It brings significantly enhanced benchmark performance, deeper chain-of-thought reasoning (now using ~23K tokens per problem), reduced hallucinations, and support for JSON output, function calling, multi-round chat, and context caching.


DeepSeek R1 0528 is the May 28, 2025 update to DeepSeek’s flagship reasoning model. It brings significantly enhanced benchmark performance, deeper chain-of-thought reasoning (now using ~23K tokens per problem), reduced hallucinations, and support for JSON output, function calling, multi-round chat, and context caching.

Codestral 25.01 is Mistral AI’s upgraded code-generation model, released January 13, 2025. Featuring a more efficient architecture and improved tokenizer, it delivers code completion and intelligence about 2× faster than its predecessor, with support for fill-in-the-middle (FIM), code correction, test generation, and proficiency in over 80 programming languages, all within a 256K-token context window.

Codestral 25.01 is Mistral AI’s upgraded code-generation model, released January 13, 2025. Featuring a more efficient architecture and improved tokenizer, it delivers code completion and intelligence about 2× faster than its predecessor, with support for fill-in-the-middle (FIM), code correction, test generation, and proficiency in over 80 programming languages, all within a 256K-token context window.

Codestral 25.01 is Mistral AI’s upgraded code-generation model, released January 13, 2025. Featuring a more efficient architecture and improved tokenizer, it delivers code completion and intelligence about 2× faster than its predecessor, with support for fill-in-the-middle (FIM), code correction, test generation, and proficiency in over 80 programming languages, all within a 256K-token context window.


UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.


UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.


UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.

AskAnyModel is a unified AI interface that allows users to interact with multiple leading AI models — such as GPT, Claude, Gemini, and Mistral — from a single platform. It eliminates the need for multiple subscriptions and interfaces by bringing top AI models into one streamlined environment. Users can compare responses, analyze outputs, and select the best AI model for specific tasks like content creation, coding, data analysis, or research. AskAnyModel empowers individuals and teams to harness AI diversity efficiently, offering advanced tools for prompt testing, model benchmarking, and workflow integration.

AskAnyModel is a unified AI interface that allows users to interact with multiple leading AI models — such as GPT, Claude, Gemini, and Mistral — from a single platform. It eliminates the need for multiple subscriptions and interfaces by bringing top AI models into one streamlined environment. Users can compare responses, analyze outputs, and select the best AI model for specific tasks like content creation, coding, data analysis, or research. AskAnyModel empowers individuals and teams to harness AI diversity efficiently, offering advanced tools for prompt testing, model benchmarking, and workflow integration.

AskAnyModel is a unified AI interface that allows users to interact with multiple leading AI models — such as GPT, Claude, Gemini, and Mistral — from a single platform. It eliminates the need for multiple subscriptions and interfaces by bringing top AI models into one streamlined environment. Users can compare responses, analyze outputs, and select the best AI model for specific tasks like content creation, coding, data analysis, or research. AskAnyModel empowers individuals and teams to harness AI diversity efficiently, offering advanced tools for prompt testing, model benchmarking, and workflow integration.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.
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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