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Best Enterprise Large Language Models (LLMs) Software

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Large Language Models (LLMs) category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Large Language Models (LLMs) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Large Language Models (LLMs) category.

In addition to qualifying for inclusion in the Large Language Models (LLMs) Software category, to qualify for inclusion in the Enterprise Business Large Language Models (LLMs) Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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4 Listings in Enterprise Large Language Models (LLMs) Software Available

(146)4.3 out of 5
3rd Easiest To Use in Large Language Models (LLMs) software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 58% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Meta Llama 3 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Accuracy
    36
    Ease of Use
    31
    Speed
    29
    Open-Source
    26
    Helpful
    23
    Cons
    Limitations
    26
    Slow Performance
    18
    Poor Response Quality
    16
    Inaccuracy
    13
    Limited Understanding
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Meta Llama 3 features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 8.4
    6.7
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    6.3
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Menlo Park, CA
    Twitter
    @Meta
    13,715,206 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    119,009 employees on LinkedIn®
    Ownership
    NASDAQ: META
Product Description
How are these determined?Information
This description is provided by the seller.

Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 58% Small-Business
  • 24% Mid-Market
Meta Llama 3 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Accuracy
36
Ease of Use
31
Speed
29
Open-Source
26
Helpful
23
Cons
Limitations
26
Slow Performance
18
Poor Response Quality
16
Inaccuracy
13
Limited Understanding
11
Meta Llama 3 features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 8.4
6.7
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
6.3
Bias Mitigation
Average: 8.1
Seller Details
Year Founded
2008
HQ Location
Menlo Park, CA
Twitter
@Meta
13,715,206 Twitter followers
LinkedIn® Page
www.linkedin.com
119,009 employees on LinkedIn®
Ownership
NASDAQ: META
By IBM
(71)4.5 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 35% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    48
    Intuitive
    16
    Model Variety
    16
    Features
    13
    Efficiency
    12
    Cons
    Improvement Needed
    16
    Difficult Learning
    9
    Expensive
    9
    Poor User Interface
    9
    Performance Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.4
    8.6
    Content Moderation
    Average: 8.3
    8.4
    Contextual Understanding
    Average: 8.5
    8.2
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 35% Mid-Market
  • 35% Small-Business
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
48
Intuitive
16
Model Variety
16
Features
13
Efficiency
12
Cons
Improvement Needed
16
Difficult Learning
9
Expensive
9
Poor User Interface
9
Performance Issues
8
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.4
8.6
Content Moderation
Average: 8.3
8.4
Contextual Understanding
Average: 8.5
8.2
Bias Mitigation
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®

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(31)4.5 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any w

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 42% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT2 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Content Creation
    10
    Text Generation
    10
    Ease of Use
    6
    Knowledge Access
    6
    Versatility
    4
    Cons
    Data Inaccuracy
    5
    Inaccurate Responses
    5
    Technical Issues
    4
    Context Understanding
    3
    Outdated Information
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT2 features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.5
    Content Moderation
    Average: 8.3
    8.5
    Contextual Understanding
    Average: 8.5
    8.0
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any w

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 42% Small-Business
  • 32% Enterprise
GPT2 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Content Creation
10
Text Generation
10
Ease of Use
6
Knowledge Access
6
Versatility
4
Cons
Data Inaccuracy
5
Inaccurate Responses
5
Technical Issues
4
Context Understanding
3
Outdated Information
3
GPT2 features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.5
Content Moderation
Average: 8.3
8.5
Contextual Understanding
Average: 8.5
8.0
Bias Mitigation
Average: 8.1
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(164)4.4 out of 5
View top Consulting Services for Gemini
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DeepMind's Gemini is a suite of advanced AI models and products, designed to push the boundaries of artificial intelligence. It represents DeepMind's next-generation system, building on the foundation

    Users
    • Research Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Gemini Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Useful
    111
    Ease of Use
    90
    Helpful
    51
    Performance Improvement
    36
    Features
    34
    Cons
    AI Limitations
    52
    Inaccuracy
    33
    Usage Limitations
    27
    Context Understanding
    26
    Inaccurate Responses
    25
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gemini features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.3
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    7.7
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DeepMind's Gemini is a suite of advanced AI models and products, designed to push the boundaries of artificial intelligence. It represents DeepMind's next-generation system, building on the foundation

Users
  • Research Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Mid-Market
  • 38% Small-Business
Gemini Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Useful
111
Ease of Use
90
Helpful
51
Performance Improvement
36
Features
34
Cons
AI Limitations
52
Inaccuracy
33
Usage Limitations
27
Context Understanding
26
Inaccurate Responses
25
Gemini features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.3
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
7.7
Bias Mitigation
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®