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Top Foundational LLM Models and Organizations

The top 35 ranking large language model (LLM) organizations according to the Elo rating system from Large Model Systems Organization (LMSYS) based on the Chatbot Arena.

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Introduction

Our text compare tool is a fantastic, lightweight tool that provides plagiarism checks between two documents. Whether you are a student, blogger or publisher, this tool offers a great solution to detect and compare similarities between any two pieces of text. In this article, I will discuss the different ways to use the tool, the primary features of the tool and who this tool is for. There is an FAQ at the bottom if you run into any issues when trying to use the tool.

What makes Originality.ai’s text comparison tool stand out?

Keyword density helper – This tool comes with a built-in keyword density helper in some ways similar to the likes of SurferSEO or MarketMuse the difference being, ours is free! This feature shows the user the frequency of single or two word keywords in a document, meaning you can easily compare an article you have written against a competitor to see the major differences in keyword densities. This is especially useful for SEO’s who are looking to optimize their blog content for search engines and improve the blog’s visibility.

Ways to compare

File compare – Text comparison between files is a breeze with our tool. Simply select the files you would like to compare, hit “Upload” and our tool will automatically insert the content into the text area, then simply hit “Compare” and let our tool show you where the differences in the text are. By uploading a file, you can still check the keyword density in your content.

URL compare

Comparing text between URLs is effortless with our tool. Simply paste the URL you would like to get the content from (in our example we use a fantastic blog post by Sherice Jacob found here) hit “Submit URL” and our tool will automatically retrieve the contents of the page and paste it into the text area, then simply click “Compare” and let our tool highlight the difference between the URLs. This feature is especially useful for checking keyword density between pages!

Simple text compare

You can also easily compare text by copying and pasting it into each field, as demonstrated below.

Features of Originality.ai’s Text Compare Tool

Ease of use

Our text compare tool is created with the user in mind, it is designed to be accessible to everyone. Our tool allows users to upload files or enter a URL to extract text, this along with the lightweight design ensures a seamless experience. The interface is simple and straightforward, making it easy for users to compare text and detect the diff.

Multiple text file format support

Our tool provides support for a variety of different text files and microsoft word formats including pdf file, .docx, .odt, .doc, and .txt, giving users the ability to compare text from different sources with ease. This makes it a great solution for students, bloggers, and publishers who are looking for file comparison in different formats.

Protects intellectual property

Our text comparison tool helps you protect your intellectual property and helps prevent plagiarism. This tool provides an accurate comparison of texts, making it easy to ensure that your work is original and not copied from other sources. Our tool is a valuable resource for anyone looking to maintain the originality of their content.

User Data Privacy

Our text compare tool is secure and protects user data privacy. No data is ever saved to the tool, the users’ text is only scanned and pasted into the tool’s text area. This makes certain that users can use our tool with confidence, knowing their data is safe and secure.

Compatibility

Our text comparison tool is designed to work seamlessly across all size devices, ensuring maximum compatibility no matter your screen size. Whether you are using a large desktop monitor, a small laptop, a tablet or a smartphone, this tool adjusts to your screen size. This means that users can compare texts and detect the diff anywhere without the need for specialized hardware or software. This level of accessibility makes it an ideal solution for students or bloggers who value the originality of their work and need to compare text online anywhere at any time.

The generative large language model (LLM) space is constantly evolving with new innovations. Renowned companies like OpenAI, Google, Meta, Nvidia, and Microsoft are all competing to build the best foundational LLM models. 

At the same time, new startups are emerging, creating new models or fine-tuning existing ones. So, they’re keen to understand how they stack up — who's leading, innovating, and growing? However, establishing an industry benchmark for LLM models can be challenging.

We used the Elo rating system from Large Model Systems Organization (LMSYS) to rank 35 organizations based on their top model performance from the Chatbot Arena

We also collected data on:

  • Number of models in the Chatbot Arena
  • A list of models
  • Market valuations
  • Number of employees
  • Monthly visits
  • Total funding amount for private companies

Then, we added the organization's website as a comparison and performance reference.

The data is presented in an Airtable, displaying organization rankings and top metrics. Click on each organization to explore the metrics in detail. 

Note: This table will be updated regularly as the Chatbot Arena model’s rankings and the organization’s standings change.

Industry Benchmarks and Large Model Systems Organization (LMSYS)

Large Model Systems Organization (LMSYS Org) is an open research organization founded by students and faculty from UC Berkeley in collaboration with UCSD and CMU. They adopted a pairwise comparison ranking system known as the Elo rating system, also officially used by the US Chess Federation to rank chess players. 

The LMSYS Chatbot Arena Leaderboard rates and ranks LLM models.

  • Over 1,000,000 human pairwise comparisons were made to rank LLMs using the Bradley-Terry model.
  • The ratings are displayed with the Elo-scale.

The system is gaining traction in the industry by providing a transparent, competitive framework for model evaluation.

Note: For the latest information on the ranking system that LMSYS uses, visit their blog post, ‘Chatbot Arena: New models & Elo system update.’

Features Overview 

A quick overview of some of the features that are included in our table.

Rank 

Rankings are determined by the Top Model ELO score. The organization with the highest Top Model ELO is ranked first, and so on. This provides a clear view of which organizations have leading models based on the Elo rating system.

Top Model ELO

This score represents the Elo rating of the highest-rated model for each organization. Elo ratings are a method for calculating the relative skill levels of players (or models, in this case) in competitor-versus-competitor games. The higher the Elo score, the better the model is considered to be.

Monthly Visits

Sourced from SEMRush via Crunchbase, this metric indicates the number of visits the organization’s website receives monthly to provide insight into the organization’s online presence and reach.

Model Count

This is the total number of models an organization has in the Chatbot Arena. It gives an idea of the organization’s presence and diversity in the model landscape.

Votes

This column aggregates the total number of pairwise comparison votes received by all models of an organization in the Chatbot Arena. Each vote represents a user’s choice, compared between two models, contributing to the Elo rating.

Total Funding Amount

This column shows the total amount of funding an organization has raised, sourced from Crunchbase. It reflects the financial backing and investor confidence in the organization's projects and potential.

Valuation

This column provides the estimated market value of the organization. For public companies, this data is straightforward, while for private companies, it is often estimated based on funding rounds and press release news.

Number of Employees (string)

This data comes from Crunchbase and is typically presented as a range, such as ‘251-500.’ It’s an approximation because the data is aggregated from various sources and cross-referenced to provide a close estimate rather than an exact number like those reported by public companies in their quarterly filings.

Last Updated

This feature indicates the last time the Airtable data was updated.

Top 10 Organizations Overview

1. OpenAI

  • Top Model ELO: 1,287
  • Models: GPT-4o-2024-05-13, GPT-4-Turbo-2024-04-09, GPT-4-1106-preview, GPT-4-0125-preview, GPT-4-0314, GPT-4-0613, GPT-3.5-Turbo-0613, GPT-3.5-Turbo-0314, GPT-3.5-Turbo-0125, GPT-3.5-Turbo-1106
  • Model Count: 10
  • Total Funding Amount: $11,300,000,000
  • Valuation: $80,000,000,000
  • Monthly Visits: 2,490,602,320
  • Description: OpenAI is an AI research and deployment company that conducts research and implements machine learning.
  • Website: openai.com

2. Anthropic

  • Top Model ELO: 1272
  • Models: Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Sonnet, Claude 3 Haiku, Claude-1, Claude-2.0, Claude-2.1, Claude-Instant-1
  • Model Count: 7
  • Total Funding Amount: $7,559,000,000
  • Valuation: $18,400,000,000
  • Monthly Visits: 10,050,430
  • Description: Anthropic is an AI safety and research company that focuses on increasing the safety of large-scale AI systems.
  • Website: anthropic.com

3. Google

  • Top Model ELO: 1,267
  • Models: Gemini-Advanced-0514, Gemini-1.5-Pro-API-0514, Gemini-1.5-Pro-API-0409-Preview, Gemini-1.5-Flash-API-0514, Bard (Gemini Pro), Gemini Pro (Dev API), Gemini Pro, Gemma-1.1-7B-it, Gemma-7B-it, Gemma-1.1-2B-it, PaLM-Chat-Bison-001, Gemma-2B-it
  • Model Count: 12
  • Total Funding Amount: $26,000,000
  • Valuation: $2,170,033,000,000
  • Monthly Visits: 164,568,726,251
  • Description: Google is a multinational corporation that specializes in Internet-related services and products.
  • Website: google.com

4. 01 AI

  • Top Model ELO: 1,241
  • Models: Yi-Large-preview, Yi-Large, Yi-1.5-34B-Chat, Yi-34B-Chat
  • Model Count: 4
  • Total Funding Amount: $10,050,430
  • Valuation: $1,000,000,000
  • Monthly Visits: 5,241
  • Description: 01.AI is developing a language model for the Chinese market that enhances productivity, creating significant economic and societal value.
  • Website: 01.ai

5. Nvidia

  • Top Model ELO: 1,208
  • Models: Nemotron-4-340B-Instruct, NV-Llama2-70B-SteerLM-Chat
  • Model Count: 2
  • Total Funding Amount: $4,095,000,000
  • Valuation: $3,335,268,000,000
  • Monthly Visits: 72,292,416
  • Description: NVIDIA is a computing platform operating at the intersection of graphics, HPC, and AI.
  • Website: nvidia.com

6. Meta

  • Top Model ELO: 1,207
  • Models: Llama-3-70b-Instruct, Llama-3-8b-Instruct, Llama-2-70b-chat, Llama-2-13b-chat, CodeLlama-70B-instruct, CodeLlama-34B-instruct, Llama-2-7b-chat, LLaMA-13B
  • Model Count: 8
  • Total Funding Amount: $24,607,000,000
  • Valuation: $1,267,661,000,000
  • Monthly Visits: 17,890,429,543
  • Description: Meta is a social technology company that enables people to connect, find communities, and grow businesses.
  • Website: meta.com

7. Zhipu AI

  • Top Model ELO: 1207
  • Models: GLM-4-0520, GLM-4-0116
  • Model Count: 2
  • Total Funding Amount: $734,000,000
  • Valuation: $1,000,000,000
  • Monthly Visits: 17,333
  • Description: Zhipu AI is a data and knowledge artificial intelligence company.
  • Website: zhipuai.cn

8. Reka AI

  • Top Model ELO: 1,200
  • Models: Reka-Core-20240501, Reka-Flash-Preview-20240611, Reka-Flash-21B-online, Reka-Flash-21B
  • Model Count: 4
  • Total Funding Amount: N/A
  • Valuation: $1,000,000,000
  • Monthly Visits:
  • Description: Reka AI is a globally distributed foundation model startup headquartered in Sunnyvale, California. It builds multimodal artificial intelligence to empower organizations and businesses.
  • Website: reka.ai

9. Cohere

  • Top Model ELO: 1,190
  • Models: Command R+, Command R
  • Model Count: 2
  • Total Funding Amount: N/A
  • Valuation: $885,000,000
  • Monthly Visits: 400,214
  • Description: Cohere provides access to advanced Large Language Models and NLP tools through one easy-to-use API.
  • Website: cohere.com

10. Alibaba

  • Top Model ELO: 1,188
  • Models: Qwen2-72B-Instruct, Qwen-Max-0428, Qwen1.5-110B-Chat, Qwen1.5-72B-Chat, Qwen1.5-32B-Chat, Qwen1.5-14B-Chat, Qwen1.5-7B-Chat, Qwen-14B-Chat, Qwen1.5-4B-Chat
  • Model Count: 9
  • Total Funding Amount: $13,907,000,000
  • Valuation: $168,432,000,000
  • Monthly Visits: 124,679,060
  • Description: Alibaba Group enables businesses to transform the way they market, sell, and operate to improve their efficiency.
  • Website: alibabagroup.com

Data Sources

Chatbot Arena

In brief, Chatbot Arena by LMSYS Org is an open research platform from UC Berkeley in collaboration with UCSD and CMU. It uses the Elo rating system to rank LLMs through over 1,000,000 human pairwise comparisons. It’s a transparent and competitive framework for model evaluation, making it an emerging benchmark in the industry.

Link: Chatbot Arena

Crunchbase

Crunchbase provides comprehensive data on private companies, including financial information, the number of employees, and web traffic. This data helps contextualize the business environment and operational scale of each organization in our ranking.

Link: Crunchbase

Methodology

To compile the rankings and data for the top organizations developing LLMs, we followed these steps.

Step 1: Data Collection

  • Extracted Elo ratings for models from the Chatbot Arena leaderboard.
  • Gathered organizational data (e.g., number of employees, funding amount, monthly visits) from Crunchbase.

Step 2: Data Aggregation

  • Ranked organizations based on their top model's Elo rating.
  • Aggregated additional models under each organization to provide a comprehensive view and count of their contributions to the LLM space.

Step 3: Manual Verification

  • Conducted web searches to verify and supplement valuation data for private companies not fully covered by Crunchbase.

Step 4: Data Presentation

  • Presented data in an Airtable card layout, enabling an intuitive and interactive user experience. The aim was to make this dashboard a quick and easy resource to keep track of the top organizations in the generative LLM space.

Jonathan Gillham

Founder / CEO of Originality.ai I have been involved in the SEO and Content Marketing world for over a decade. My career started with a portfolio of content sites, recently I sold 2 content marketing agencies and I am the Co-Founder of MotionInvest.com, the leading place to buy and sell content websites. Through these experiences I understand what web publishers need when it comes to verifying content is original. I am not For or Against AI content, I think it has a place in everyones content strategy. However, I believe you as the publisher should be the one making the decision on when to use AI content. Our Originality checking tool has been built with serious web publishers in mind!

Frequently Asked Questions

Do I have to fill out the entire form?

No, that’s one of the benefits, only fill out the areas which you think will be relevant to the prompts you require.

Why is the English so poor for some prompts?

When making the tool we had to make each prompt as general as possible to be able to include every kind of input. Not to worry though ChatGPT is smart and will still understand the prompt.

In The Press

Originality.ai has been featured for its accurate ability to detect GPT-3, Chat GPT and GPT-4 generated content. See some of the coverage below…

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Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.

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I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.

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After extensive research and testing, we determined Originality.ai to be the most accurate technology.

Rock Content Team

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Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.

Felix Rose-Collins

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ChatGPT lacks empathy and originality. It’s also recognized as AI-generated content most of the time by plagiarism and AI detectors like Originality.ai

Ashley Stahl

forbes.com

Originality.ai Do give them a shot! 

Sri Krishna

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For web publishers, Originality.ai will enable you to scan your content seamlessly, see who has checked it previously, and detect if an AI-powered tool was implored.

Industry Trends

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Frequently Asked Questions

Why is it important to check for plagiarism?

Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.

What is Text Comparison?

Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.

How do Text Comparison Tools Work?

Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.

String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.

The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.

Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.

String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.

What is Syntax Highlighting?

Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.

The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.

How Can I Conduct a Plagiarism Check between Two Documents Online?

With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.

What Are the Benefits of Using a Text Compare Tool?

Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.

What Files Can You Inspect with This Text Compare Tool?

We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.

Will My Data Be Shared?

There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.

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This table below shows a heat map of features on other sites compared to ours as you can see we almost have greens across the board!

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