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

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, 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.

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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8 Listings in Large Language Models (LLMs) Available
(164)4.4 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.

    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®
(146)4.3 out of 5
3rd Easiest To Use in Large Language Models (LLMs) software
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  • Overview
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  • 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

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(61)4.6 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-3 powers the next generation of apps Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT3 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
    25
    Text Generation
    20
    Content Creation
    18
    Accuracy
    11
    Helpful
    10
    Cons
    Context Understanding
    10
    Outdated Information
    8
    Inaccurate Responses
    7
    Repetitive
    7
    Hallucinations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT3 features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.4
    8.4
    Content Moderation
    Average: 8.3
    8.7
    Contextual Understanding
    Average: 8.5
    7.8
    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-3 powers the next generation of apps Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 30% Mid-Market
GPT3 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
25
Text Generation
20
Content Creation
18
Accuracy
11
Helpful
10
Cons
Context Understanding
10
Outdated Information
8
Inaccurate Responses
7
Repetitive
7
Hallucinations
6
GPT3 features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.4
8.4
Content Moderation
Average: 8.3
8.7
Contextual Understanding
Average: 8.5
7.8
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®
(54)4.4 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve conte

    Users
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BERT 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
    Performance Improvement
    15
    Accuracy
    14
    Ease of Use
    12
    Natural Language Processing
    12
    Contextual Understanding
    10
    Cons
    High Computational Demand
    16
    Technical Issues
    11
    Improvement Needed
    10
    High Resource Consumption
    6
    Bias
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BERT features and usability ratings that predict user satisfaction
    8.4
    Quality of Support
    Average: 8.4
    8.1
    Content Moderation
    Average: 8.3
    8.1
    Contextual Understanding
    Average: 8.5
    7.9
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    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®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve conte

Users
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Small-Business
  • 30% Mid-Market
BERT 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
Performance Improvement
15
Accuracy
14
Ease of Use
12
Natural Language Processing
12
Contextual Understanding
10
Cons
High Computational Demand
16
Technical Issues
11
Improvement Needed
10
High Resource Consumption
6
Bias
5
BERT features and usability ratings that predict user satisfaction
8.4
Quality of Support
Average: 8.4
8.1
Content Moderation
Average: 8.3
8.1
Contextual Understanding
Average: 8.5
7.9
Bias Mitigation
Average: 8.1
Seller Details
Seller
Google
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®
Ownership
NASDAQ:GOOG
(508)4.5 out of 5
1st Easiest To Use in Large Language Models (LLMs) software
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16% off: $210/month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crowdin is an AI-powered localization software for teams. Connect 600+ tools to translate your content. Create and manage all your multilingual content in one place. Localize your apps, software, w

    Users
    • Software Engineer
    • CEO
    Industries
    • Computer Software
    • Computer Games
    Market Segment
    • 58% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Crowdin 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
    224
    Translation Services
    137
    Translation
    117
    Customer Support
    109
    Easy Integrations
    103
    Cons
    Usability Issues
    91
    Translation Issues
    88
    Integration Issues
    47
    Poor User Interface
    46
    Technical Issues
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crowdin features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.4
    7.9
    Content Moderation
    Average: 8.3
    7.5
    Contextual Understanding
    Average: 8.5
    7.6
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Crowdin
    Company Website
    Year Founded
    2008
    HQ Location
    Tallinn
    Twitter
    @crowdin
    2,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crowdin is an AI-powered localization software for teams. Connect 600+ tools to translate your content. Create and manage all your multilingual content in one place. Localize your apps, software, w

Users
  • Software Engineer
  • CEO
Industries
  • Computer Software
  • Computer Games
Market Segment
  • 58% Small-Business
  • 30% Mid-Market
Crowdin 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
224
Translation Services
137
Translation
117
Customer Support
109
Easy Integrations
103
Cons
Usability Issues
91
Translation Issues
88
Integration Issues
47
Poor User Interface
46
Technical Issues
45
Crowdin features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.4
7.9
Content Moderation
Average: 8.3
7.5
Contextual Understanding
Average: 8.5
7.6
Bias Mitigation
Average: 8.1
Seller Details
Seller
Crowdin
Company Website
Year Founded
2008
HQ Location
Tallinn
Twitter
@crowdin
2,668 Twitter followers
LinkedIn® Page
www.linkedin.com
120 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AutoGPT is a generalist LLM based AI agent that can autonomously accomplish minor tasks.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 63% Small-Business
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AutoGPT 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
    12
    Text Generation
    8
    Ease of Use
    7
    Performance Improvement
    7
    Helpful
    5
    Cons
    Expensive
    7
    Technical Issues
    7
    Difficult Learning
    4
    Low Accuracy
    4
    Complex Setup
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AutoGPT features and usability ratings that predict user satisfaction
    8.7
    Quality of Support
    Average: 8.4
    8.8
    Content Moderation
    Average: 8.3
    8.9
    Contextual Understanding
    Average: 8.5
    8.7
    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.

AutoGPT is a generalist LLM based AI agent that can autonomously accomplish minor tasks.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 63% Small-Business
  • 37% Mid-Market
AutoGPT 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
12
Text Generation
8
Ease of Use
7
Performance Improvement
7
Helpful
5
Cons
Expensive
7
Technical Issues
7
Difficult Learning
4
Low Accuracy
4
Complex Setup
3
AutoGPT features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.4
8.8
Content Moderation
Average: 8.3
8.9
Contextual Understanding
Average: 8.5
8.7
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®
(42)4.6 out of 5
View top Consulting Services for GPT4
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GPT-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT4 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
    Helpful
    12
    Ease of Use
    11
    Content Creation
    10
    Performance Improvement
    9
    Knowledge Access
    8
    Cons
    Inaccurate Responses
    6
    Low Accuracy
    6
    Technical Issues
    6
    Expensive
    5
    Lack of Creativity
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT4 features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.4
    8.1
    Content Moderation
    Average: 8.3
    8.8
    Contextual Understanding
    Average: 8.5
    8.1
    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-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 26% Mid-Market
GPT4 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
Helpful
12
Ease of Use
11
Content Creation
10
Performance Improvement
9
Knowledge Access
8
Cons
Inaccurate Responses
6
Low Accuracy
6
Technical Issues
6
Expensive
5
Lack of Creativity
5
GPT4 features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.4
8.1
Content Moderation
Average: 8.3
8.8
Contextual Understanding
Average: 8.5
8.1
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®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tune AI is the leading Enterprise GenAI stack for securely fine-tuning models & deploying LLM powered apps. Our offerings include: Tune Chat: An AI chat app with 350,000+ users and powerful model

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 75% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tune 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
    96
    Features
    77
    Useful
    72
    Helpful
    58
    User Interface
    51
    Cons
    Limitations
    29
    AI Limitations
    28
    Usage Limitations
    25
    Missing Features
    23
    Improvement Needed
    22
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tune AI features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.4
    7.8
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    7.5
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Francisco, US
    Twitter
    @NimbleBoxAI
    467 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tune AI is the leading Enterprise GenAI stack for securely fine-tuning models & deploying LLM powered apps. Our offerings include: Tune Chat: An AI chat app with 350,000+ users and powerful model

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 75% Small-Business
  • 18% Mid-Market
Tune 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
96
Features
77
Useful
72
Helpful
58
User Interface
51
Cons
Limitations
29
AI Limitations
28
Usage Limitations
25
Missing Features
23
Improvement Needed
22
Tune AI features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.4
7.8
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
7.5
Bias Mitigation
Average: 8.1
Seller Details
Year Founded
2018
HQ Location
San Francisco, US
Twitter
@NimbleBoxAI
467 Twitter followers
LinkedIn® Page
in.linkedin.com
37 employees on LinkedIn®

Large Language Models (LLMs) Software Quick Facts for Medium-Sized Business Users

Content below is current as of June, 2024
Summary of Reviews

Reviews Summary: The Best Large Language Models (LLMs) Software for Medium-Sized Businesses

At G2 we have some of the most definitive data on the best Large Language Models (LLMs) software for medium-sized businesses. G2 users have generated 508 Large Language Models (LLMs) software reviews and associated data from users working for mid-size companies. We have identified 45 individual Large Language Models (LLMs) products offering the features, pricing and support that medium-sized companies look for when comparing Large Language Models (LLMs) software and solutions. These reviews are generated using the qualitative and quantitative feedback from G2 members working in medium-sized companies and who have used these Large Language Models (LLMs) software products.

When G2 reviewers submit their software reviews, they often provide information on the type of company they work for and what market segment they belong to. We break these different market segments into three distinct groups:

Medium-sized businesses have their own unique requirements when it comes to Large Language Models (LLMs) software compared to small or enterprise companies. That is why these individual software reviews are especially helpful when comparing product set up, ease of use and overall cost.

Below you will find FAQs and review snippets for Large Language Models (LLMs) software that works well for mid-market companies. Reviews are written by G2 users with real-world experience using these products.

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

What are the best Large Language Models (LLMs) software products for mid-size businesses, according to G2 reviewers?

  • Gemini - 4.4-stars, 65 reviews from reviewers at mid-size companies.
  • Tune AI - 4.4-stars, 60 reviews from reviewers at mid-size companies.
  • GPT3 - 4.6-stars, 58 reviews from reviewers at mid-size companies.
  • BERT - 4.4-stars, 55 reviews from reviewers at mid-size companies.
  • Crowdin - 4.5-stars, 49 reviews from reviewers at mid-size companies.

What Large Language Models (LLMs) software products do reviewers from mid-market companies like most?

  • GPT3 - 4.6-stars, 58 reviews from reviewers at mid-market companies.
  • Crowdin - 4.5-stars, 49 reviews from reviewers at mid-market companies.
  • GPT4 - 4.6-stars, 38 reviews from reviewers at mid-market companies.
  • AutoGPT - 4.5-stars, 33 reviews from reviewers at mid-market companies.
  • Claude - 4.7-stars, 11 reviews from reviewers at mid-market companies.

Which Large Language Models (LLMs) software products do medium-sized companies rate the highest on G2?

  • GPT3 - 4.6-stars according to 58 professionals at medium-sized businesses.
  • GPT4 - 4.6-stars according to 38 professionals at medium-sized businesses.
  • Crowdin - 4.5-stars according to 49 professionals at medium-sized businesses.
  • AutoGPT - 4.5-stars according to 33 professionals at medium-sized businesses.
  • GPT2 - 4.5-stars according to 26 professionals at medium-sized businesses.

How many Large Language Models (LLMs) software reviews are from users working in medium-sized businesses?

The 508 reviews for mid-size Large Language Models (LLMs) service providers on G2 vary often. Specific review details for the nearly 45 Large Language Models (LLMs) providers can be found below.

Here’s What Reviewers Working at Mid-Market Businesses Have to Say About Large Language Models (LLMs) Software

Questions Responses
Here is what professionals in mid-size businesses liked best about Large Language Models (LLMs) software products.
Crowdin: "It is a great software that enables translators to translate anything according to their requirement,. You can localize your website and also translate it into many languages you want."
- Khola M., Creative, Innovative, Communicative and Opportunist. Botanist., Mid-Market (51-1000 emp.)

Gemini: "His decent manners and his comprehensiveness is unprecedented. Simply, he/she is the best so far :)"
- Mohamed H., Professor at Cairo University, Mid-Market (51-1000 emp.)

Tune AI: "Its speed, efficient and have lot of open source models to try and test."
- Bhargav B., Mid-Market (51-1000 emp.)

Here is what professionals in mid-size businesses liked least about Large Language Models (LLMs) software products.
Megatron-LM: "The emphasis on AI practices and comprehensive impact analysis. There are areas where Megatron LM falls short despite its features."
- Richard T., Mid-Market (51-1000 emp.)

Microsoft Copilot: "The downside to it i think is not not being able to assign the user to the device and something after the updates it tends to not respond."
- Aleena R., Senior Process Associate| Contextual Master | L&D Specialist| LMS| Learning and Administrative Services| Servicenow| Cornerstone on demand|, Mid-Market (51-1000 emp.)

These are what professionals in medium-sized businesses recommend to others considering Large Language Models (LLMs) software.
Crowdin: "It is very easy to use thus time saving with attractive features. Compatible for both iOS and android which makes it useful for all."
- Khola M., Creative, Innovative, Communicative and Opportunist. Botanist., Mid-Market (51-1000 emp.)

Crowdin: "Evaluate or start with a small plan. It can easy be upgraded as needed."
- Michael G., Software Account presso SIA s.p.a., Mid-Market (51-1000 emp.)

Crowdin: "Get on a call with them once you've had a chance to test out the tool and go through the basic documentation. All of your questions will be answered fairly quickly and they will help you design a good workflow for your team and your needs."
- Camila P., Localization Manager at AssessFirst, Mid-Market (51-1000 emp.)

These are the problems users said the software was solving and how it is benefiting them in mid-size companies.
Crowdin: "You can limit your website according to your requirement and you can also make as many languages transfers as you want. So it attracts more clients all over the world and make your work better."
- Khola M., Creative, Innovative, Communicative and Opportunist. Botanist., Mid-Market (51-1000 emp.)

Gemini: "He is my brainstorming companion."
- Mohamed H., Professor at Cairo University, Mid-Market (51-1000 emp.)

Tune AI: "I use it for writing efficient code"
- Bhargav B., Mid-Market (51-1000 emp.)

Reviews by Industry: Information Technology and Services, Computer Software, and Marketing and Advertising

Reviews by Industry: Large Language Models (LLMs) Software for Mid-Size Companies

G2 currently has 136 Large Language Models (LLMs) software reviews from users working in medium-sized companies across multiple industries. These reviews and associated data help G2 provide those working in mid-size companies find the right Large Language Models (LLMs) software products for their specific industry. Features, support, and usability needs differ from industry to industry, making it a challenge to find the best Large Language Models (LLMs) software for medium-sized businesses.

The Large Language Models (LLMs) software reviews and FAQs below were chosen specifically because they reflect the experiences of G2 users working at medium-sized companies in industries that commonly use Large Language Models (LLMs) software.

Industry-Specific Large Language Models (LLMs) Software FAQs for Mid-Market Businesses

Which industries are most medium-sized business Large Language Models (LLMs) software reviewers working in?

  • 35.2% of reviewers work at Information Technology and Services companies.
  • 13.3% of reviewers work at Computer Software companies.
  • 3.6% of reviewers work at Marketing and Advertising companies.

Which Large Language Models (LLMs) software products are the best for medium-sized Information Technology and Services companies?

  • GPT3 is rated 4.6-stars and has 58 reviews from professionals at medium-sized companies.
  • Gemini is rated 4.4-stars and has 65 reviews from professionals at medium-sized companies.
  • Tune AI is rated 4.4-stars and has 60 reviews from professionals at medium-sized companies.

Which Large Language Models (LLMs) software products are the best for mid-size Computer Software companies?

  • GPT3 is rated 4.6-stars with 58 reviews from mid-size company professionals.
  • Gemini is rated 4.4-stars with 65 reviews from mid-size company professionals.
  • Tune AI is rated 4.4-stars with 60 reviews from mid-size company professionals.

Which Large Language Models (LLMs) software products are the best for mid-market Marketing and Advertising companies?

  • GPT3: 4.6-stars, 58 reviews from reviewers at mid-market companies.
  • Gemini: 4.4-stars, 65 reviews from reviewers at mid-market companies.
  • BERT: 4.4-stars, 55 reviews from reviewers at mid-market companies.

What titles do the Large Language Models (LLMs) software reviewers have at their mid-size businesses?

G2 users who review Large Language Models (LLMs) products for mid-market companies often have titles like:

  • Creative, Innovative, Communicative and Opportunist. Botanist.
  • Professor at Cairo University

Medium-Sized Business Large Language Models (LLMs) Software Reviews from Popular Industries

Below you will learn what reviewers from medium-sized companies liked and disliked about the Large Language Models (LLMs) software products that are popular in their industries.

Industry What Reviewers from Medium-Sized Businesses Liked What Reviewers from Medium-Sized Businesses Disliked
Information Technology and Services
Gemini: "It gives real-time information about everything. It has also helped me create presentations, blogs and videos."
- Arpit A., Mid-Market (51-1000 emp.)

Computer Software
Crowdin: "The possibility to translate "In context", meaning from inside of our deployed application with immediate update of both, the interface and the translation database. Then the service."
- Michael G., Software Account presso SIA s.p.a., Mid-Market (51-1000 emp.)

Marketing and Advertising
Gemini: "Google Bard is quick, serves the purpose of a helpful ai search results tool and gets the job done."
- Suleksh V., Mid-Market (51-1000 emp.)

Reviews by Features

Large Language Models (LLMs) Software Feature Reviews from Professionals at Medium-Sized Businesses

Knowing the features of any software tool, app or platform are crucial when you are a professional working at a mid-size company. That’s why G2 has users from medium-sized businesses review the 124 features of popular Large Language Models (LLMs) software products for quality, usability, and support. These Large Language Models (LLMs) software features are analyzed and rated throughout the 785 Large Language Models (LLMs) software reviews created by G2 users. Detailed, market segment-specific feedback can help you determine if a particular Large Language Models (LLMs) software product has the attributes and functionality best for your market segment.

There are standard features across all the Large Language Models (LLMs) software products reviewed on G2. Below we’ve listed the highest-rated standard features of Large Language Models (LLMs) software products along with some of the core attributes that help drive the performance of those features:

  • Translation Memory (88% average rating)
    • Custom Translation Memory (89% rating)
    • Built-in Translation Memory (87% rating)
  • Integration and Extensibility - Generative AI Infrastructure (88% average rating)
    • AI API Support and Flexibility (88% rating)
  • Platform (87% average rating)
    • Speed of Generation (87% rating)
    • Collaboration (87% rating)

Large Language Models (LLMs) Software Features FAQs from Professionals at Mid-Market Companies

Below you will find answers to frequently asked questions about the features of Large Language Models (LLMs) Software asked by G2 reviewers working at mid-size companies.

What are the most important Large Language Models (LLMs) software features for mid-market companies and professionals?

  • Translation Memory - 153 G2 reviews and a 88% rating.
  • Translation Tracking - 151 G2 reviews and a 89% rating.
  • Continuous Translation - 142 G2 reviews and a 88% rating.
  • Built-in Translation Memory - 90 G2 reviews and a 87% rating.
  • Collaborative Translation - 79 G2 reviews and a 91% rating.

What are the best Large Language Models (LLMs) software products with Translation Memory features for medium-sized companies?

  • Crowdin 4.5-star rating from 49 reviews.

What are the best Large Language Models (LLMs) software products with Translation Tracking features for medium-sized businesses?

  • Crowdin 4.5-star rating from 49 reviews.

What are the best Large Language Models (LLMs) software products with Continuous Translation features for mid-market companies?

  • Crowdin 4.5-star rating from 49 reviews.

What are the best Large Language Models (LLMs) software products with Built-in Translation Memory features for mid-size companies?

  • Crowdin 4.5-star rating from 49 reviews.

What are the best Large Language Models (LLMs) software products with Collaborative Translation features for mid-size companies?

  • Crowdin 4.5-star rating from 49 reviews.

Below are the Large Language Models (LLMs) software features that G2 reviewers from medium-sized businesses like best and least for the top-rated products.

Product Highest Rated Features Lowest Rated Features
Claude Here are three features users from mid-market companies love the most about Claude:

  • Interaction
  • Content Generation
  • Data
Here are three features users from medium-sized businesses love the least about Claude:

  • Algorithm
  • Deployment
  • Ethics & Compliance
GPT3 Here are two features users from mid-market companies love the most about GPT3:

  • Performance
  • Usability
Here are one feature user from medium-sized businesses love the least about GPT3:

  • Ethics & Compliance
GPT4 Here are two features users from mid-market companies love the most about GPT4:

  • Performance
  • Usability
Here are one feature user from medium-sized businesses love the least about GPT4:

  • Ethics & Compliance
Crowdin Here are three features users from mid-market companies love the most about Crowdin:

  • Translation Memory
  • Automation
  • Collaboration
Here are three features users from medium-sized businesses love the least about Crowdin:

  • Channel
  • Ethics & Compliance
  • Performance
AutoGPT Here are two features users from mid-market companies love the most about AutoGPT:

  • Performance
  • Ethics & Compliance
Here are one feature user from medium-sized businesses love the least about AutoGPT:

  • Usability