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Best Large Language Models (LLMs) Software for Small Business

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, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small 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 Small Business Large Language Models (LLMs) Software category, a product must have at least 10 reviews left by a reviewer from a small 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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3 Listings in Small Business Large Language Models (LLMs) Available

(299)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
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ChatGPT features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 7.8
    8.1
    Content Moderation
    Average: 8.7
    8.5
    Contextual Understanding
    Average: 8.8
    7.7
    Bias Mitigation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    4,529,087 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 features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 7.8
8.1
Content Moderation
Average: 8.7
8.5
Contextual Understanding
Average: 8.8
7.7
Bias Mitigation
Average: 8.6
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
4,529,087 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(296)4.4 out of 5
2nd Easiest To Use in Large Language Models (LLMs) software
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
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Small-Business
    • 34% 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
    54
    Useful
    40
    Helpful
    33
    Efficiency
    23
    Features
    19
    Cons
    AI Limitations
    16
    Inaccurate Responses
    14
    Inaccuracy
    13
    Improvement Needed
    11
    Context Understanding
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gemini features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 7.8
    8.4
    Content Moderation
    Average: 8.7
    8.4
    Contextual Understanding
    Average: 8.8
    7.8
    Bias Mitigation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,716,915 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
  • 49% Small-Business
  • 34% 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
54
Useful
40
Helpful
33
Efficiency
23
Features
19
Cons
AI Limitations
16
Inaccurate Responses
14
Inaccuracy
13
Improvement Needed
11
Context Understanding
10
Gemini features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 7.8
8.4
Content Moderation
Average: 8.7
8.4
Contextual Understanding
Average: 8.8
7.8
Bias Mitigation
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,716,915 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®

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(152)4.3 out of 5
3rd Easiest To Use in Large Language Models (LLMs) software
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
    No information available
    Industries
    No information available
    Market Segment
    • 58% Small-Business
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Lllama features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 7.8
    7.6
    Content Moderation
    Average: 8.7
    8.3
    Contextual Understanding
    Average: 8.8
    7.8
    Bias Mitigation
    Average: 8.6
  • 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
No information available
Industries
No information available
Market Segment
  • 58% Small-Business
  • 24% Mid-Market
Lllama features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 7.8
7.6
Content Moderation
Average: 8.7
8.3
Contextual Understanding
Average: 8.8
7.8
Bias Mitigation
Average: 8.6
Seller Details
Seller
Meta
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®