- Researchers & Students: Explore topics deeply with cited explanations and follow-up questions.
- Content & SEO Writers: Quickly gather facts, summaries, and source links for articles and reports.
- Professionals & Market Analysts: Gain structured insights into business trends, legal queries, and industry data.
- Developers & Teams: Integrate its API for real-time Q&A, knowledge hubs, and internal file search.
- General Users: Use free web, mobile, or browser-extension interfaces for daily information needs.
How to Use Perplexity AI?
- Visit the Web or Use Apps: Access via browser, Chrome extension, macOS app, iOS/Android, or voice-powered assistants.
- Ask Queries: Enter natural questions; the system retrieves live data and synthesizes answers with citations.
- Follow Up or Use Pro Mode: Pro Search invites clarifications and supports research features like “Spaces.”
- Upload Files (Pro): Advanced users can search internal documents, code, and even images via Pro.
- Explore & Organize: Save threads into Spaces, generate shareable Pages, or integrate via API.
- Real-Time & Cited Answers: Synthesizes up-to-date web info with verifiable citations.
- Hybrid Search + Chat: Combines instant responses with conversational dialogue and follow-ups.
- Multimodal Capability: Pro tier supports uploading and analyzing documents, images, and code.
- Model Flexibility: Offers best-of-breed backends (GPT-4.1, Claude 4, Sonar) selectable per need.
- Extensible Ecosystem: Includes Spaces for research organization, Pages for content creation, and API for integration.
- Transparent citations increase trust and verifiability
- Conversational QA enables deeper inquiry
- Model selection allows quality customization
- Spaces and Pages accelerate research workflows
- Free access includes powerful web-based search
- Can still hallucinate unsupported details occasionally
- Legal disputes with media like BBC highlight web-scraping concerns
- Free tier has usage limits; Pro subscription needed for advanced features
Free
$ 0.00
3 Pro searches per day
Upload 3 files per day
Paid
$20/month
Unlimited access to Perplexity Research
10x as many citations in answers
Powered by the latest top AI models
Upload unlimited documents and images
Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.
Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.
Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Similar AI Tools
tavily
Tavily is a specialized search engine meticulously optimized for Large Language Models (LLMs) and AI agents. Its primary goal is to provide real-time, accurate, and unbiased information, significantly enhancing the ability of AI applications to retrieve and process data efficiently. Unlike traditional search APIs, Tavily focuses on delivering highly relevant content snippets and structured data that are specifically tailored for AI workflows like Retrieval-Augmented Generation (RAG), aiming to reduce AI hallucinations and enable better decision-making.
tavily
Tavily is a specialized search engine meticulously optimized for Large Language Models (LLMs) and AI agents. Its primary goal is to provide real-time, accurate, and unbiased information, significantly enhancing the ability of AI applications to retrieve and process data efficiently. Unlike traditional search APIs, Tavily focuses on delivering highly relevant content snippets and structured data that are specifically tailored for AI workflows like Retrieval-Augmented Generation (RAG), aiming to reduce AI hallucinations and enable better decision-making.
tavily
Tavily is a specialized search engine meticulously optimized for Large Language Models (LLMs) and AI agents. Its primary goal is to provide real-time, accurate, and unbiased information, significantly enhancing the ability of AI applications to retrieve and process data efficiently. Unlike traditional search APIs, Tavily focuses on delivering highly relevant content snippets and structured data that are specifically tailored for AI workflows like Retrieval-Augmented Generation (RAG), aiming to reduce AI hallucinations and enable better decision-making.
jina
Jina AI is a Berlin-based software company that provides a "search foundation" platform, offering various AI-powered tools designed to help developers build the next generation of search applications for unstructured data. Its mission is to enable businesses to create reliable and high-quality Generative AI (GenAI) and multimodal search applications by combining Embeddings, Rerankers, and Small Language Models (SLMs). Jina AI's tools are designed to provide real-time, accurate, and unbiased information, optimized for LLMs and AI agents.
jina
Jina AI is a Berlin-based software company that provides a "search foundation" platform, offering various AI-powered tools designed to help developers build the next generation of search applications for unstructured data. Its mission is to enable businesses to create reliable and high-quality Generative AI (GenAI) and multimodal search applications by combining Embeddings, Rerankers, and Small Language Models (SLMs). Jina AI's tools are designed to provide real-time, accurate, and unbiased information, optimized for LLMs and AI agents.
jina
Jina AI is a Berlin-based software company that provides a "search foundation" platform, offering various AI-powered tools designed to help developers build the next generation of search applications for unstructured data. Its mission is to enable businesses to create reliable and high-quality Generative AI (GenAI) and multimodal search applications by combining Embeddings, Rerankers, and Small Language Models (SLMs). Jina AI's tools are designed to provide real-time, accurate, and unbiased information, optimized for LLMs and AI agents.
LangChain AI
LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
LangChain AI
LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
LangChain AI
LangChain AI Local Deep Researcher is an autonomous, fully local web research assistant designed to conduct in-depth research on user-provided topics. It leverages local Large Language Models (LLMs) hosted by Ollama or LM Studio to iteratively generate search queries, summarize findings from web sources, and refine its understanding by identifying and addressing knowledge gaps. The final output is a comprehensive markdown report with citations to all sources.
GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.
GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.
GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek-V3
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
grok-2-latest
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-latest
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-latest
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-vision-1212
Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.
grok-2-vision-1212
Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.
grok-2-vision-1212
Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
Meta Llama 3.3
Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.
DeepSeek-R1-Zero
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
DeepSeek-R1-Zero
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
DeepSeek-R1-Zero
DeepSeek R1 Zero is an open-source large language model introduced in January 2025 by DeepSeek AI. It is a reinforcement learning–only version of DeepSeek R1, trained without supervised fine-tuning. With 671B total parameters (37B active) and a 128K-token context window, it demonstrates strong chain-of-thought reasoning, self-verification, and reflection.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
DeepSeek R1 0528 – Qwen3 ‑ 8B is an 8 B-parameter dense model distilled from DeepSeek‑R1‑0528 using Qwen3‑8B as its base. Released in May 2025, it transfers high-depth chain-of-thought reasoning into a compact architecture while achieving benchmark-leading results close to much larger models.
Qwen Chat
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
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
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.
Perplexity Comet
Perplexity Comet is an AI-augmented browser that blends web search, chat, and automation into a unified environment. Rather than switching between browser tabs and chat windows, Comet allows users to ask questions, explore content, and execute tasks all within the browsing flow. It acts like a conversational companion embedded in your web experience, helping you dig deeper into topics, compare different sources, and interact with pages more intelligently.
Perplexity Comet
Perplexity Comet is an AI-augmented browser that blends web search, chat, and automation into a unified environment. Rather than switching between browser tabs and chat windows, Comet allows users to ask questions, explore content, and execute tasks all within the browsing flow. It acts like a conversational companion embedded in your web experience, helping you dig deeper into topics, compare different sources, and interact with pages more intelligently.
Perplexity Comet
Perplexity Comet is an AI-augmented browser that blends web search, chat, and automation into a unified environment. Rather than switching between browser tabs and chat windows, Comet allows users to ask questions, explore content, and execute tasks all within the browsing flow. It acts like a conversational companion embedded in your web experience, helping you dig deeper into topics, compare different sources, and interact with pages more intelligently.
Editorial Note
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.
If you have any suggestions or questions, email us at hello@aitoolbook.ai