OpenAI Text Embedding 3 Large
Last Updated on: Sep 12, 2025
OpenAI Text Embedding 3 Large
0
0Reviews
5Views
1Visits
Large Language Models (LLMs)
AI Knowledge Management
AI Knowledge Base
AI Knowledge Graph
AI Search Engine
AI Data Mining
AI Analytics Assistant
AI Developer Tools
AI API Design
AI Tools Directory
What is OpenAI Text Embedding 3 Large?
text-embedding-3-large is OpenAI’s most advanced embedding model designed to convert natural language text into high-dimensional vector representations. With 3,072 dimensions per embedding and cutting-edge architecture, it offers best-in-class performance for tasks like semantic search, content recommendations, clustering, classification, and more.

Built to deliver top-tier semantic understanding, this model is ideal when accuracy and relevance are mission-critical. It’s the spiritual successor to text-embedding-ada-002, bringing huge improvements in contextual understanding, generalization, and relevance scoring.
Who can use OpenAI Text Embedding 3 Large & how?
  • Enterprise Developers: Power intelligent search and recommendation systems with ultra-precise embeddings.
  • Data Scientists & ML Engineers: Use in machine learning pipelines, anomaly detection, or document classification.
  • Product Teams: Integrate into AI features that require deep understanding of user input and content.
  • AI Researchers: Apply in state-of-the-art NLP research, especially in tasks requiring nuanced understanding.
  • Semantic Search Builders: Great for applications like legal search, academic paper indexing, or support ticket classification.
  • E-commerce Teams: Build smarter product discovery and personalized experiences using semantic embeddings.

🛠️ How to Use text-embedding-3-large?
  • Step 1: Choose the Model: Select text-embedding-3-large when making requests to the OpenAI v1/embeddings API endpoint.
  • Step 2: Input the Text: Provide raw text—sentences, paragraphs, documents—up to 8192 tokens in a single request.
  • Step 3: Generate Embeddings: Receive a 3,072-dimensional vector that represents the input’s semantic meaning.
  • Step 4: Use the Embeddings: Perform similarity matching, vector search, clustering, or feed into downstream ML models.
  • Step 5: Scale with Vector Databases: Store and manage embeddings using platforms like Pinecone, Weaviate, FAISS, or Qdrant for lightning-fast retrieval.
What's so unique or special about OpenAI Text Embedding 3 Large?
  • Top-Tier Accuracy: Delivers OpenAI’s best semantic understanding for complex queries and large-scale systems.
  • Long Context Support: Accepts up to 8192 tokens, ideal for embedding large bodies of text.
  • Fine-Grained Semantics: Perfect for use cases that depend on subtle differences in language and meaning.
  • Advanced Architecture: Built with OpenAI’s latest embedding techniques for speed, accuracy, and efficiency.
  • Versatile Application: Suitable across domains like healthcare, legal, SaaS, retail, education, and more.
  • Future-Proofed: Designed to scale with upcoming improvements in AI-driven semantic understanding.
Things We Like
  • Highest Embedding Quality: Exceptional performance on retrieval and relevance tasks.
  • Deep Semantic Understanding: Outperforms older models in benchmarks and real-world use.
  • Handles Long Texts Gracefully: 8192-token input limit allows full documents without breaking them into chunks.
  • Ideal for Complex Search Tasks: Especially when shallow embeddings fall short.
  • Strong Generalization: Works well across domains—technical, conversational, creative, or formal.
Things We Don't Like
  • More Expensive than “Small” Version: Best suited when accuracy is worth the cost.
  • Higher Latency: Larger vector size and model complexity may result in slower response times.
  • Overkill for Simple Tasks: Might not be necessary for lightweight or single-sentence matching.
  • No Custom Fine-Tuning: Model is fixed and not currently customizable.
  • Larger Vector Size: 3072-dimensional output may increase storage and compute costs for huge datasets.
Photos & Videos
Screenshot 1
Pricing
Paid

1 million tokens

$ 0.13

ATB Embeds
Reviews

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.

Product Promotion

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

0 out of 5

Rating Distribution

5 star
0
4 star
0
3 star
0
2 star
0
1 star
0

Average score

Ease of use
0.0
Value for money
0.0
Functionality
0.0
Performance
0.0
Innovation
0.0

Popular Mention

FAQs

It’s OpenAI’s most powerful embedding model that transforms text into 3,072-dimensional vectors for use in search, classification, clustering, and more.
It’s 2x larger (3072 vs. 1536 dimensions), more accurate, and better for tasks requiring deep semantic precision, but comes at a higher cost.
Ideal for complex semantic search, domain-specific applications, enterprise recommendation engines, and anything where embedding quality is critical.
The model supports up to 8192 tokens per request, making it great for embedding long-form content or entire documents.
Absolutely. The output vectors work seamlessly with major vector DBs such as Pinecone, Weaviate, Qdrant, and FAISS.

Similar AI Tools

OpenAI GPT-4o
logo

OpenAI GPT-4o

0
0
17
0

GPT-4o is OpenAI’s latest and most advanced AI model, offering faster, more powerful, and cost-efficient natural language processing. It can handle text, vision, and audio in real time, making it the first OpenAI model to process multimodal inputs natively. It’s significantly faster and cheaper than GPT-4 Turbo while improving accuracy, reasoning, and multilingual support.

OpenAI GPT-4o
logo

OpenAI GPT-4o

0
0
17
0

GPT-4o is OpenAI’s latest and most advanced AI model, offering faster, more powerful, and cost-efficient natural language processing. It can handle text, vision, and audio in real time, making it the first OpenAI model to process multimodal inputs natively. It’s significantly faster and cheaper than GPT-4 Turbo while improving accuracy, reasoning, and multilingual support.

OpenAI GPT-4o
logo

OpenAI GPT-4o

0
0
17
0

GPT-4o is OpenAI’s latest and most advanced AI model, offering faster, more powerful, and cost-efficient natural language processing. It can handle text, vision, and audio in real time, making it the first OpenAI model to process multimodal inputs natively. It’s significantly faster and cheaper than GPT-4 Turbo while improving accuracy, reasoning, and multilingual support.

OpenAI Dall-E 2
logo

OpenAI Dall-E 2

0
0
12
0

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
logo

OpenAI Dall-E 2

0
0
12
0

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
logo

OpenAI Dall-E 2

0
0
12
0

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 ChatGPT
logo

OpenAI ChatGPT

0
0
51
0

ChatGPT is an advanced AI chatbot developed by OpenAI that can generate human-like text, answer questions, assist with creative writing, and engage in natural conversations. Powered by OpenAI’s GPT models, it is widely used for customer support, content creation, tutoring, and even casual chat. ChatGPT is available as a web app, API, and mobile app, making it accessible for personal and business use.

OpenAI ChatGPT
logo

OpenAI ChatGPT

0
0
51
0

ChatGPT is an advanced AI chatbot developed by OpenAI that can generate human-like text, answer questions, assist with creative writing, and engage in natural conversations. Powered by OpenAI’s GPT models, it is widely used for customer support, content creation, tutoring, and even casual chat. ChatGPT is available as a web app, API, and mobile app, making it accessible for personal and business use.

OpenAI ChatGPT
logo

OpenAI ChatGPT

0
0
51
0

ChatGPT is an advanced AI chatbot developed by OpenAI that can generate human-like text, answer questions, assist with creative writing, and engage in natural conversations. Powered by OpenAI’s GPT models, it is widely used for customer support, content creation, tutoring, and even casual chat. ChatGPT is available as a web app, API, and mobile app, making it accessible for personal and business use.

OpenAI Dall-E 3
logo

OpenAI Dall-E 3

0
0
23
0

OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.

OpenAI Dall-E 3
logo

OpenAI Dall-E 3

0
0
23
0

OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.

OpenAI Dall-E 3
logo

OpenAI Dall-E 3

0
0
23
0

OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.

OpenAI o1-pro
logo

OpenAI o1-pro

0
0
6
0

o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.

OpenAI o1-pro
logo

OpenAI o1-pro

0
0
6
0

o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.

OpenAI o1-pro
logo

OpenAI o1-pro

0
0
6
0

o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.

OpenAI - GPT 4.1
logo

OpenAI - GPT 4.1

0
0
12
0

GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.

OpenAI - GPT 4.1
logo

OpenAI - GPT 4.1

0
0
12
0

GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.

OpenAI - GPT 4.1
logo

OpenAI - GPT 4.1

0
0
12
0

GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.

OpenAI GPT 4.1 nano
0
0
7
0

GPT-4.1 Nano is OpenAI’s smallest and most efficient language model in the GPT-4.1 family, designed to deliver ultra-fast, ultra-cheap, and surprisingly capable natural language responses. Though compact in size, GPT-4.1 Nano handles lightweight NLP tasks with impressive speed and minimal resource consumption, making it perfect for mobile apps, edge computing, and large-scale deployments with cost sensitivity. It’s built for real-time applications and use cases where milliseconds matter, and budgets are tight—yet you still want a taste of OpenAI-grade intelligence.

OpenAI GPT 4.1 nano
0
0
7
0

GPT-4.1 Nano is OpenAI’s smallest and most efficient language model in the GPT-4.1 family, designed to deliver ultra-fast, ultra-cheap, and surprisingly capable natural language responses. Though compact in size, GPT-4.1 Nano handles lightweight NLP tasks with impressive speed and minimal resource consumption, making it perfect for mobile apps, edge computing, and large-scale deployments with cost sensitivity. It’s built for real-time applications and use cases where milliseconds matter, and budgets are tight—yet you still want a taste of OpenAI-grade intelligence.

OpenAI GPT 4.1 nano
0
0
7
0

GPT-4.1 Nano is OpenAI’s smallest and most efficient language model in the GPT-4.1 family, designed to deliver ultra-fast, ultra-cheap, and surprisingly capable natural language responses. Though compact in size, GPT-4.1 Nano handles lightweight NLP tasks with impressive speed and minimal resource consumption, making it perfect for mobile apps, edge computing, and large-scale deployments with cost sensitivity. It’s built for real-time applications and use cases where milliseconds matter, and budgets are tight—yet you still want a taste of OpenAI-grade intelligence.

OpenAI GPT 4o Search Preview
0
0
6
0

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.

OpenAI GPT 4o Search Preview
0
0
6
0

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.

OpenAI GPT 4o Search Preview
0
0
6
0

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.

OpenAI Omni Moderation Latest
0
0
5
0

omni-moderation-latest is OpenAI’s most advanced content moderation model, designed to detect and flag harmful, unsafe, or policy-violating content across a wide range of modalities and languages. Built on the GPT-4o architecture, it leverages multimodal understanding and multilingual capabilities to provide robust moderation for text, images, and audio inputs. This model is particularly effective in identifying nuanced and culturally specific toxic content, including implicit insults, sarcasm, and aggression that general-purpose systems might overlook.

OpenAI Omni Moderation Latest
0
0
5
0

omni-moderation-latest is OpenAI’s most advanced content moderation model, designed to detect and flag harmful, unsafe, or policy-violating content across a wide range of modalities and languages. Built on the GPT-4o architecture, it leverages multimodal understanding and multilingual capabilities to provide robust moderation for text, images, and audio inputs. This model is particularly effective in identifying nuanced and culturally specific toxic content, including implicit insults, sarcasm, and aggression that general-purpose systems might overlook.

OpenAI Omni Moderation Latest
0
0
5
0

omni-moderation-latest is OpenAI’s most advanced content moderation model, designed to detect and flag harmful, unsafe, or policy-violating content across a wide range of modalities and languages. Built on the GPT-4o architecture, it leverages multimodal understanding and multilingual capabilities to provide robust moderation for text, images, and audio inputs. This model is particularly effective in identifying nuanced and culturally specific toxic content, including implicit insults, sarcasm, and aggression that general-purpose systems might overlook.

Gemini Embedding
logo

Gemini Embedding

0
0
8
1

Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks

Gemini Embedding
logo

Gemini Embedding

0
0
8
1

Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks

Gemini Embedding
logo

Gemini Embedding

0
0
8
1

Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks

Mistral Embed
logo

Mistral Embed

0
0
9
1

Mistral Embed is Mistral AI’s high-performance text embedding model designed for semantic retrieval, clustering, classification, and retrieval-augmented generation (RAG). With support for up to 8,192 tokens and producing 1,024-dimensional vectors, it delivers state-of-the-art semantic similarity and organization capabilities.

Mistral Embed
logo

Mistral Embed

0
0
9
1

Mistral Embed is Mistral AI’s high-performance text embedding model designed for semantic retrieval, clustering, classification, and retrieval-augmented generation (RAG). With support for up to 8,192 tokens and producing 1,024-dimensional vectors, it delivers state-of-the-art semantic similarity and organization capabilities.

Mistral Embed
logo

Mistral Embed

0
0
9
1

Mistral Embed is Mistral AI’s high-performance text embedding model designed for semantic retrieval, clustering, classification, and retrieval-augmented generation (RAG). With support for up to 8,192 tokens and producing 1,024-dimensional vectors, it delivers state-of-the-art semantic similarity and organization capabilities.

AI Summarizer best
logo

AI Summarizer best

0
0
2
0

Summarizer.best is a free, AI-powered text summarization tool developed by Black Technology Ltd in London. It allows users to transform long articles, blogs, essays, research papers, or web pages into concise summaries—without losing context. Input options include direct text (up to 20,000 characters) or a URL, which the tool automatically extracts content from. Users can select between short, medium, or long summary lengths and output in multiple languages, with more than 20 supported, including English, Spanish, French, German, Chinese, Hindi, Japanese, Russian, Arabic, and others. After processing, the summary can be downloaded in Markdown format or copied directly.

AI Summarizer best
logo

AI Summarizer best

0
0
2
0

Summarizer.best is a free, AI-powered text summarization tool developed by Black Technology Ltd in London. It allows users to transform long articles, blogs, essays, research papers, or web pages into concise summaries—without losing context. Input options include direct text (up to 20,000 characters) or a URL, which the tool automatically extracts content from. Users can select between short, medium, or long summary lengths and output in multiple languages, with more than 20 supported, including English, Spanish, French, German, Chinese, Hindi, Japanese, Russian, Arabic, and others. After processing, the summary can be downloaded in Markdown format or copied directly.

AI Summarizer best
logo

AI Summarizer best

0
0
2
0

Summarizer.best is a free, AI-powered text summarization tool developed by Black Technology Ltd in London. It allows users to transform long articles, blogs, essays, research papers, or web pages into concise summaries—without losing context. Input options include direct text (up to 20,000 characters) or a URL, which the tool automatically extracts content from. Users can select between short, medium, or long summary lengths and output in multiple languages, with more than 20 supported, including English, Spanish, French, German, Chinese, Hindi, Japanese, Russian, Arabic, and others. After processing, the summary can be downloaded in Markdown format or copied directly.

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