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Best Large Language Models (LLMs) Software for Medium-Sized Businesses

Jeffrey Lin
JL
Researched and written by Jeffrey Lin

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, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized 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 Medium-Sized 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 Medium-Sized Business Large Language Models (LLMs) Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

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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 Large Language Models (LLMs) Available
(301)4.6 out of 5
1st Easiest To Use in Large Language Models (LLMs) software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Users
    • Owner
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 53% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ChatGPT 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
    84
    Performance Improvement
    84
    Time-saving
    61
    Accuracy
    60
    Creativity Enhancement
    60
    Cons
    Technical Issues
    57
    Inaccurate Responses
    54
    Hallucinations
    34
    Context Understanding
    33
    Slow Performance
    33
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ChatGPT features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 7.9
    8.1
    Content Moderation
    Average: 8.4
    8.6
    Contextual Understanding
    Average: 8.2
    7.7
    Bias Mitigation
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    4,563,196 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Users
  • Owner
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 53% Small-Business
  • 30% Mid-Market
ChatGPT 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
84
Performance Improvement
84
Time-saving
61
Accuracy
60
Creativity Enhancement
60
Cons
Technical Issues
57
Inaccurate Responses
54
Hallucinations
34
Context Understanding
33
Slow Performance
33
ChatGPT features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 7.9
8.1
Content Moderation
Average: 8.4
8.6
Contextual Understanding
Average: 8.2
7.7
Bias Mitigation
Average: 8.3
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
4,563,196 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(323)4.4 out of 5
2nd Easiest To Use in Large Language Models (LLMs) software
View top Consulting Services for Gemini
Save to My Lists
  • 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
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 32% Mid-Market
  • 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
    Ease of Use
    55
    Useful
    42
    Helpful
    32
    Efficiency
    25
    Content Creation
    23
    Cons
    AI Limitations
    18
    Inaccuracy
    18
    Inaccurate Responses
    14
    Technical Issues
    14
    Usage Limitations
    13
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gemini features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 7.9
    8.4
    Content Moderation
    Average: 8.4
    8.5
    Contextual Understanding
    Average: 8.3
    7.8
    Bias Mitigation
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,524,859 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 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
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Small-Business
  • 32% Mid-Market
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
Ease of Use
55
Useful
42
Helpful
32
Efficiency
25
Content Creation
23
Cons
AI Limitations
18
Inaccuracy
18
Inaccurate Responses
14
Technical Issues
14
Usage Limitations
13
Gemini features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 7.9
8.4
Content Moderation
Average: 8.4
8.5
Contextual Understanding
Average: 8.3
7.8
Bias Mitigation
Average: 8.3
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,524,859 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®

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(88)4.4 out of 5
4th Easiest To Use in Large Language Models (LLMs) software
View top Consulting Services for Claude
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Claude, by Anthropic, is a family of advanced AI assistants and Large Language Models (LLMs) designed for safe, helpful, and natural conversation, excelling at tasks like writing, coding, summarizing,

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 65% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Claude 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
    31
    Ease of Use
    29
    Helpful
    23
    Accuracy
    18
    Communication
    16
    Cons
    Usage Limitations
    27
    Limitations
    13
    Limited Functionality
    13
    AI Limitations
    12
    Resource Limitations
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Claude features and usability ratings that predict user satisfaction
    7.7
    Quality of Support
    Average: 7.9
    7.6
    Content Moderation
    Average: 8.4
    8.2
    Contextual Understanding
    Average: 8.4
    7.9
    Bias Mitigation
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anthropic
    HQ Location
    San Francisco, California
    Twitter
    @AnthropicAI
    717,142 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,757 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Claude, by Anthropic, is a family of advanced AI assistants and Large Language Models (LLMs) designed for safe, helpful, and natural conversation, excelling at tasks like writing, coding, summarizing,

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 65% Small-Business
  • 24% Mid-Market
Claude 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
31
Ease of Use
29
Helpful
23
Accuracy
18
Communication
16
Cons
Usage Limitations
27
Limitations
13
Limited Functionality
13
AI Limitations
12
Resource Limitations
10
Claude features and usability ratings that predict user satisfaction
7.7
Quality of Support
Average: 7.9
7.6
Content Moderation
Average: 8.4
8.2
Contextual Understanding
Average: 8.4
7.9
Bias Mitigation
Average: 8.3
Seller Details
Seller
Anthropic
HQ Location
San Francisco, California
Twitter
@AnthropicAI
717,142 Twitter followers
LinkedIn® Page
www.linkedin.com
2,757 employees on LinkedIn®
(152)4.3 out of 5
3rd Easiest To Use in Large Language Models (LLMs) software
View top Consulting Services for Llama
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Meta’s Llama 4 Maverick 17B model fine-tuned for instruction tasks with long context support.

    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
  • Llama 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
    38
    Ease of Use
    32
    Speed
    32
    Open-Source
    27
    Helpful
    24
    Cons
    Limitations
    29
    Slow Performance
    18
    Poor Response Quality
    16
    Inaccuracy
    13
    Limited Understanding
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Llama features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 7.9
    7.6
    Content Moderation
    Average: 8.4
    8.3
    Contextual Understanding
    Average: 8.3
    7.8
    Bias Mitigation
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Meta
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Meta’s Llama 4 Maverick 17B model fine-tuned for instruction tasks with long context support.

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 58% Small-Business
  • 24% Mid-Market
Llama 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
38
Ease of Use
32
Speed
32
Open-Source
27
Helpful
24
Cons
Limitations
29
Slow Performance
18
Poor Response Quality
16
Inaccuracy
13
Limited Understanding
11
Llama features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 7.9
7.6
Content Moderation
Average: 8.4
8.3
Contextual Understanding
Average: 8.3
7.8
Bias Mitigation
Average: 8.3
Seller Details
Seller
Meta
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®