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Best Large Language Models (LLMs) Software for Small Business

Bijou Barry
BB
Researched and written by Bijou Barry

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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4 Listings in Small Business Large Language Models (LLMs) Available

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    G2 Score
ChatGPT
(307)4.6 out of 5
1st 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.

    ChatGPT is an advanced AI language model developed by OpenAI, designed to assist users in generating human-like text based on the input it receives. It serves as a versatile tool for a wide range of a

    Users
    • Owner
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    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
    86
    Performance Improvement
    86
    Accuracy
    62
    Time-saving
    62
    Creativity Enhancement
    61
    Cons
    Technical Issues
    58
    Inaccurate Responses
    54
    Slow Performance
    35
    Hallucinations
    34
    Context Understanding
    33
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • ChatGPT features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 7.8
    8.2
    Content Moderation
    Average: 8.2
    8.5
    Contextual Understanding
    Average: 8.3
    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
    4,588,814 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.

ChatGPT is an advanced AI language model developed by OpenAI, designed to assist users in generating human-like text based on the input it receives. It serves as a versatile tool for a wide range of a

Users
  • Owner
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Marketing and Advertising
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
86
Performance Improvement
86
Accuracy
62
Time-saving
62
Creativity Enhancement
61
Cons
Technical Issues
58
Inaccurate Responses
54
Slow Performance
35
Hallucinations
34
Context Understanding
33
View All Pros and Cons
ChatGPT features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 7.8
8.2
Content Moderation
Average: 8.2
8.5
Contextual Understanding
Average: 8.3
7.7
Bias Mitigation
Average: 8.3
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
4,588,814 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
Gemini
(352)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.

    Gemini Institutional offers a comprehensive suite of secure, crypto-native solutions tailored for professional traders, institutional investors, businesses, private wealth managers, fintech companies,

    Users
    • Research Analyst
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 30% 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
    69
    Useful
    52
    Helpful
    46
    Content Creation
    33
    Accuracy
    26
    Cons
    Inaccuracy
    34
    AI Limitations
    30
    Technical Issues
    24
    Usage Limitations
    22
    Context Understanding
    16
    View All Pros and Cons
  • 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: 8.2
    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
    31,586,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Gemini Institutional offers a comprehensive suite of secure, crypto-native solutions tailored for professional traders, institutional investors, businesses, private wealth managers, fintech companies,

Users
  • Research Analyst
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Small-Business
  • 30% 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
69
Useful
52
Helpful
46
Content Creation
33
Accuracy
26
Cons
Inaccuracy
34
AI Limitations
30
Technical Issues
24
Usage Limitations
22
Context Understanding
16
View All Pros and Cons
Gemini features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 7.8
8.4
Content Moderation
Average: 8.2
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
31,586,146 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®

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Claude
(90)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 is a state-of-the-art large language model (LLM) developed by Anthropic, designed to serve as a helpful, honest, and harmless AI assistant. With its advanced reasoning capabilities and conversa

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% 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
    33
    Ease of Use
    31
    Helpful
    25
    Accuracy
    22
    Communication
    17
    Cons
    Usage Limitations
    30
    Limited Functionality
    15
    Limitations
    14
    AI Limitations
    13
    Resource Limitations
    10
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Claude features and usability ratings that predict user satisfaction
    7.6
    Quality of Support
    Average: 7.8
    7.6
    Content Moderation
    Average: 8.2
    8.2
    Contextual Understanding
    Average: 8.3
    7.9
    Bias Mitigation
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Anthropic
    HQ Location
    San Francisco, California
    Twitter
    @AnthropicAI
    744,099 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 is a state-of-the-art large language model (LLM) developed by Anthropic, designed to serve as a helpful, honest, and harmless AI assistant. With its advanced reasoning capabilities and conversa

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% 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
33
Ease of Use
31
Helpful
25
Accuracy
22
Communication
17
Cons
Usage Limitations
30
Limited Functionality
15
Limitations
14
AI Limitations
13
Resource Limitations
10
View All Pros and Cons
Claude features and usability ratings that predict user satisfaction
7.6
Quality of Support
Average: 7.8
7.6
Content Moderation
Average: 8.2
8.2
Contextual Understanding
Average: 8.3
7.9
Bias Mitigation
Average: 8.3
Seller Details
Seller
Anthropic
HQ Location
San Francisco, California
Twitter
@AnthropicAI
744,099 Twitter followers
LinkedIn® Page
www.linkedin.com
2,757 employees on LinkedIn®
Llama
(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.

    Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model developed by Meta, designed to handle both text and image inputs while generating multilingual text and code outputs a

    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
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Llama features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 7.8
    7.6
    Content Moderation
    Average: 8.2
    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.

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model developed by Meta, designed to handle both text and image inputs while generating multilingual text and code outputs a

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
View All Pros and Cons
Llama features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 7.8
7.6
Content Moderation
Average: 8.2
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®
Filters
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Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Open Source
Reasoning Capabilities
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Clear All
Clear Filter
More Filters
Market Segments
All Segments
Small Business
Mid Market
Enterprise
Avg. Customer Review
Open Source
Reasoning Capabilities
Sort by
Clear All

4 Listings in Small Business Large Language Models (LLMs) Available

  • Sort By:
    G2 Score

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