--- title: bloom 1b7 Reviews meta\_title: 'bloom 1b7 Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how bloom 1b7 works for a business like yours. aggregate\_rating: rating\_value: 4.1 review\_count: 4 scale: '5' date\_modified: '2026-08-16' parent\_category: name: Generative AI url: https://www.g2.com/categories/generative-ai ---

# bloom 1b7 Reviews & Product Details

BLOOM-1b7 is a transformer-based language model developed by the BigScience Workshop, designed to generate human-like text across 48 languages. As a scaled-down variant of the larger BLOOM model, it offers a balance between performance and computational efficiency, making it suitable for a wide range of natural language processing tasks. Key Features and Functionality: - Multilingual Support: Capable of understanding and generating text in 48 languages, facilitating diverse linguistic applications. - Text Generation: Produces coherent and contextually relevant text, useful for tasks such as content creation, dialogue systems, and more. - Transformer Architecture: Utilizes a transformer-based design, enabling efficient processing and generation of text. - Pretrained Model: Serves as a base model that can be fine-tuned for specific applications, enhancing adaptability to various tasks. Primary Value and User Solutions: BLOOM-1b7 addresses the need for accessible, high-quality language models that support multiple languages. Its relatively smaller size compared to larger models allows for deployment in environments with limited computational resources without significant performance degradation. This makes it an ideal choice for researchers and developers seeking a versatile and efficient language model for tasks such as text generation, translation, and other NLP applications.

* * *

Seller
 [Hugging Face](https://www.g2.com/sellers/hugging-face)
Discussions
 [bloom 1b7 Community](https://www.g2.com/products/bloom-1b7/discuss)
Languages Supported
 

Arabic, German, English, French, Hindi, Italian, Japanese, Korean, Portuguese, Spanish, Telugu, Turkish

Show More

## Top-Rated Alternatives

[

 ![Gemma 3 4B](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gemma 3 4B")

Gemma 3 4B

4.1/5(24)

](https://www.g2.com/products/gemma-3-4b/reviews)

[

 ![Mistral 7B](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mistral 7B")

Mistral 7B

4.2/5(22)

](https://www.g2.com/products/mistral-7b/reviews)

[

 ![StableLM](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "StableLM")

StableLM

4.7/5(18)

](https://www.g2.com/products/stablelm/reviews)

[
View All Alternatives
](https://www.g2.com/products/bloom-1b7/competitors/alternatives)

## bloom 1b7 Integrations
(1)

What do users say about integrations?

Integration information sourced from real user reviews.

  

 ![LOKESH G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "LOKESH G.")
LG

LOKESH G.

Engineer.SGB TCS-FS CORE BANKING,Production

Information Technology and Services

Enterprise (\> 1000 emp.)

8/4/2026

"Solid Multilingual Text Generation with Smooth Hugging Face Integration"

4.5/5

What do you like best about bloom 1b7?

It strikes a solid balance between model size and practical text-generation capability. The multilingual support is especially helpful, and it integrates smoothly with the Hugging Face Transformers ecosystem. I also appreciate that it’s openly accessible, which makes it convenient for experimentation, prototyping, and fine-tuning without having to rely entirely on proprietary models. Review collected by and hosted on G2.com.

What do you dislike about bloom 1b7?

The output quality can be inconsistent, especially on complex reasoning or fact-heavy tasks. At times it produces repetitive or irrelevant responses, and it can present incorrect information with a lot of confidence. Overall, I feel it needs stronger validation and more task-specific fine-tuning before I’d be comfortable relying on it for production use. Review collected by and hosted on G2.com.

What problems is bloom 1b7 solving and how is that benefiting you?

BLOOM 1b7 helps address the need for accessible, multilingual text generation without relying entirely on proprietary AI models. I use it to prototype NLP workflows, experiment with text generation, and test multilingual use cases. For me, this makes experimentation more flexible and cost-effective, while also letting me evaluate and tailor an open model for specific applications. Review collected by and hosted on G2.com.

Show More

Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite

  

 ![Subhashree S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Subhashree S.")
SS

Subhashree S.

Developer

Computer Software

Enterprise (\> 1000 emp.)

8/11/2026

"Lightweight BLOOM 1B7 for Easy Experimentation and Small NLP Projects"

4.5/5

What do you like best about bloom 1b7?

I like that BLOOM 1B7 is relatively lightweight and easy to experiment with. It’s useful for basic text-generation and NLP tasks without needing a very powerful setup, which makes it convenient for testing and smaller projects. Review collected by and hosted on G2.com.

What do you dislike about bloom 1b7?

The main limitation for me is that the smaller 1B7 model can struggle with more complex prompts and sometimes gives inconsistent or repetitive responses. The output quality is also noticeably limited compared with larger language models, especially when the task requires deeper reasoning or better context understanding. Review collected by and hosted on G2.com.

What problems is bloom 1b7 solving and how is that benefiting you?

BLOOM 1B7 is useful for experimenting with multilingual text generation and basic NLP tasks without needing a large amount of computing resources. For me, the main benefit is being able to quickly test prompts, generate text, and explore NLP use cases without setting up or running a much larger model. Review collected by and hosted on G2.com.

Show More

Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite

  

 ![Muhammed A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Muhammed A.")
MA

Muhammed A.

Technical Project Manager 

Information Technology and Services

Small-Business (50 or fewer emp.)

8/4/2026

"BLOOM 1B7: Efficient, Multilingual, and Easy to Integrate"

4/5

What do you like best about bloom 1b7?

BLOOM 1B7 strikes a good balance between model size and language capabilities. It performs well for multilingual text generation, integrates easily with open-source AI frameworks, and is efficient enough for experimentation, prototyping, and lightweight production workloads. Review collected by and hosted on G2.com.

What do you dislike about bloom 1b7?

While the model performs well for general language tasks, it can struggle with complex reasoning and highly specialized technical topics. Better optimization guides and more comprehensive deployment documentation would improve the overall developer experience. Review collected by and hosted on G2.com.

What problems is bloom 1b7 solving and how is that benefiting you?

BLOOM 1B7 provides an accessible open-source language model for building and evaluating AI-powered applications without depending on proprietary services. It has helped accelerate proof-of-concept development, simplify multilingual content generation, and reduce infrastructure costs during early-stage AI projects. Review collected by and hosted on G2.com.

Show More

Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite

  

 ![ADITI S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "ADITI S.")
AS

ADITI S.

Architect

Architecture & Planning

Small-Business (50 or fewer emp.)

8/2/2026

"Quick, Helpful Translation and Summarization, but Could Use More Datasets"

3.5/5

What do you like best about bloom 1b7?

helpful in easy and quick translation, summerization and text compilation of my document Review collected by and hosted on G2.com.

What do you dislike about bloom 1b7?

compartively less datasets compared to its new varients Review collected by and hosted on G2.com.

What problems is bloom 1b7 solving and how is that benefiting you?

translation of my manuscripts from different language. as a research scholar studing manuscripts from different language this tool has really helped me out Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

### There are not enough reviews of bloom 1b7 for G2 to provide buying insight. Below are some alternatives with more reviews:

[

1

 ![Gemma 3 4B Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_875175039c275eab2eed735a56ad8cee/gemma-3-4b.jpeg "Gemma 3 4B Logo")

Gemma 3 4B

4.1

 (24) 

Gemma 3 270M is a compact, text-only model within the Gemma family of generative AI models, designed to perform a variety of text generation tasks such as question answering, summarization, and reasoning. With 270 million parameters, it offers a balance between performance and efficiency, making it suitable for applications with limited computational resources. Key Features and Functionality: - Text Generation: Capable of generating coherent and contextually relevant text for tasks like summarization and question answering. - Function Calling: Supports function calling, enabling the creation of natural language interfaces for programming functions. - Wide Language Support: Trained to support over 140 languages, facilitating multilingual applications. - Efficient Deployment: Its relatively small size allows for deployment on devices with limited computational power. Primary Value and User Solutions: Gemma 3 270M provides developers with a versatile and efficient AI model for text-based applications. Its support for function calling allows for the development of natural language interfaces, enhancing user interaction with software systems. The model's wide language support enables the creation of applications that cater to a global audience. Additionally, its compact size ensures that it can be deployed on devices with limited resources, making advanced AI capabilities accessible in various environments.

](https://www.g2.com/products/gemma-3-4b/reviews "Gemma 3 4B")[

2

 ![Mistral 7B Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_2971a0663a70d0342de644bf5336fd9c/mistral-7b.png "Mistral 7B Logo")

Mistral 7B

4.2

 (22) 

Mistral-7B-v0.1 is a small, yet powerful model adaptable to many use-cases. Mistral 7B is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. It’s released under Apache 2.0 licence, and we made it easy to deploy on any cloud.

](https://www.g2.com/products/mistral-7b/reviews "Mistral 7B")[

3

 ![StableLM Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_a239c8e5a18326c756626195ab8d577d/stablelm.jpeg "StableLM Logo")

StableLM

4.7

 (18) 

StableLM is a suite of open-source large language models (LLMs) developed by Stability AI, designed to deliver high-performance natural language processing capabilities. These models are trained on extensive datasets to support a wide range of applications, including text generation, language understanding, and conversational AI. By offering accessible and efficient language models, StableLM aims to empower developers and researchers to build innovative AI-driven solutions. Key Features and Functionality: - Open-Source Accessibility: StableLM models are freely available, allowing for broad usage and community-driven enhancements. - Scalability: The models are designed to scale across various applications, from small-scale projects to enterprise-level deployments. - Versatility: StableLM supports diverse natural language processing tasks, including text generation, summarization, and question-answering. - Performance Optimization: The models are optimized for efficiency, ensuring high performance across different hardware configurations. Primary Value and User Solutions: StableLM addresses the need for accessible, high-quality language models in the AI community. By providing open-source LLMs, it enables developers and researchers to integrate advanced language understanding and generation capabilities into their applications without the constraints of proprietary systems. This fosters innovation and accelerates the development of AI solutions across various industries.

](https://www.g2.com/products/stablelm/reviews "StableLM")[

4

 ![Gemma 3 1B Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_875175039c275eab2eed735a56ad8cee/gemma-3-1b.jpeg "Gemma 3 1B Logo")

Gemma 3 1B

4.1

 (27) 

Gemma 3 270M is a compact, text-only model within the Gemma family of generative AI models, designed to perform a variety of text generation tasks such as question answering, summarization, and reasoning. With 270 million parameters, it offers a balance between performance and efficiency, making it suitable for applications with limited computational resources. Key Features and Functionality: - Text Generation: Capable of generating coherent and contextually relevant text for tasks like summarization and question answering. - Function Calling: Supports function calling, enabling the creation of natural language interfaces for programming functions. - Wide Language Support: Trained to support over 140 languages, facilitating multilingual applications. - Efficient Deployment: Its relatively small size allows for deployment on devices with limited computational power. Primary Value and User Solutions: Gemma 3 270M provides developers with a versatile and efficient AI model for text-based applications. Its support for function calling allows for the development of natural language interfaces, enhancing user interaction with software systems. The model's wide language support enables the creation of applications that cater to a global audience. Additionally, its compact size ensures that it can be deployed on devices with limited resources, making advanced AI capabilities accessible in various environments.

](https://www.g2.com/products/gemma-3-1b/reviews "Gemma 3 1B")[

5

 ![Gemma 3n 4b Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_875175039c275eab2eed735a56ad8cee/gemma-3n-4b.jpeg "Gemma 3n 4b Logo")

Gemma 3n 4b

4.3

 (15) 

Gemma 3n is a generative AI model optimized for deployment on everyday devices such as smartphones, laptops, and tablets. It introduces innovations in parameter-efficient processing, including Per-Layer Embedding (PLE) parameter caching and the MatFormer architecture, which collectively reduce computational and memory demands. The model supports audio, text, and visual inputs, enabling a wide range of applications from speech recognition to image analysis. Key Features and Functionality: - Audio Input Handling: Processes sound data for tasks like speech recognition, translation, and audio analysis. - Multimodal Capabilities: Handles visual and text inputs, facilitating comprehensive understanding and analysis of diverse data types. - Vision Encoder: Incorporates a high-performance MobileNet-V5 encoder to enhance the speed and accuracy of visual data processing. - PLE Caching: Utilizes Per-Layer Embedding parameters that can be cached to local storage, reducing memory usage during model execution. - MatFormer Architecture: Employs the Matryoshka Transformer architecture, allowing selective activation of model parameters to decrease computational costs and response times. - Conditional Parameter Loading: Offers the flexibility to load specific parameters dynamically, such as those for vision and audio, optimizing memory usage based on task requirements. - Extensive Language Support: Trained in over 140 languages, enabling broad linguistic capabilities. - 32K Token Context Window: Provides a substantial input context, allowing for the processing of large datasets and complex tasks. Primary Value and User Solutions: Gemma 3n addresses the challenge of deploying advanced AI capabilities on resource-constrained devices by offering a model that balances performance with efficiency. Its parameter-efficient design ensures that users can run sophisticated AI applications without compromising device performance or battery life. The model's support for multiple input modalities—audio, text, and visual—enables developers to create versatile applications that can interpret and generate content across various data types. By providing open weights and licensing for responsible commercial use, Gemma 3n empowers developers to fine-tune and deploy the model in diverse projects, fostering innovation in AI applications across different platforms and devices.

](https://www.g2.com/products/gemma-3n-4b/reviews "Gemma 3n 4b")[

6

 ![Ministral 8B 24.10 Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_071436818a6df3d1f0b2ef791eec5b74/ministral-8b-24-10.jpg "Ministral 8B 24.10 Logo")

Ministral 8B 24.10

4.3

 (9) 

Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments. Key Features and Functionality: - Multi-Language Support: Trained on a diverse dataset encompassing more than 80 programming languages, ensuring adaptability to different development projects. - Code Completion and Generation: Capable of completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism, thereby streamlining the coding process. - Integration with Development Environments: Accessible via a dedicated endpoint (`codestral.mistral.ai`), facilitating seamless integration into various Integrated Development Environments (IDEs). Primary Value and User Solutions: Codestral significantly enhances developer productivity by automating routine coding tasks, reducing the time and effort required for code completion and test generation. Its extensive language support and advanced code understanding minimize errors and bugs, allowing developers to focus on complex problem-solving and innovation. By integrating smoothly into existing workflows, Codestral democratizes coding, making advanced AI-assisted development accessible to a broader range of users.

](https://www.g2.com/products/ministral-8b-24-10/reviews "Ministral 8B 24.10")[

7

 ![Gemma 3n 2b Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_875175039c275eab2eed735a56ad8cee/gemma-3n-2b.jpeg "Gemma 3n 2b Logo")

Gemma 3n 2b

4.1

 (10) 

Gemma 3n is a generative AI model optimized for deployment on everyday devices such as smartphones, laptops, and tablets. It introduces innovations in parameter-efficient processing, including Per-Layer Embedding (PLE) parameter caching and the MatFormer architecture, which collectively reduce computational and memory demands. The model supports audio, text, and visual inputs, enabling a wide range of applications from speech recognition to image analysis. Key Features and Functionality: - Audio Input Handling: Processes sound data for tasks like speech recognition, translation, and audio analysis. - Multimodal Capabilities: Handles visual and text inputs, facilitating comprehensive understanding and analysis of diverse data types. - Vision Encoder: Incorporates a high-performance MobileNet-V5 encoder to enhance the speed and accuracy of visual data processing. - PLE Caching: Utilizes Per-Layer Embedding parameters that can be cached to local storage, reducing memory usage during model execution. - MatFormer Architecture: Employs the Matryoshka Transformer architecture, allowing selective activation of model parameters to decrease computational costs and response times. - Conditional Parameter Loading: Offers the flexibility to load specific parameters dynamically, such as those for vision and audio, optimizing memory usage based on task requirements. - Extensive Language Support: Trained in over 140 languages, enabling broad linguistic capabilities. - 32K Token Context Window: Provides a substantial input context, allowing for the processing of large datasets and complex tasks. Primary Value and User Solutions: Gemma 3n addresses the challenge of deploying advanced AI capabilities on resource-constrained devices by offering a model that balances performance with efficiency. Its parameter-efficient design ensures that users can run sophisticated AI applications without compromising device performance or battery life. The model's support for multiple input modalities—audio, text, and visual—enables developers to create versatile applications that can interpret and generate content across various data types. By providing open weights and licensing for responsible commercial use, Gemma 3n empowers developers to fine-tune and deploy the model in diverse projects, fostering innovation in AI applications across different platforms and devices.

](https://www.g2.com/products/gemma-3n-2b/reviews "Gemma 3n 2b")[

8

 ![Magistral Small Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_071436818a6df3d1f0b2ef791eec5b74/magistral-small.jpg "Magistral Small Logo")

Magistral Small

4.1

 (12) 

Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments. Key Features and Functionality: - Multi-Language Support: Trained on a diverse dataset encompassing more than 80 programming languages, ensuring adaptability to different development projects. - Code Completion and Generation: Capable of completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism, thereby streamlining the coding process. - Integration with Development Environments: Accessible via a dedicated endpoint (`codestral.mistral.ai`), facilitating seamless integration into various Integrated Development Environments (IDEs). Primary Value and User Solutions: Codestral significantly enhances developer productivity by automating routine coding tasks, reducing the time and effort required for code completion and test generation. Its extensive language support and advanced code understanding minimize errors and bugs, allowing developers to focus on complex problem-solving and innovation. By integrating smoothly into existing workflows, Codestral democratizes coding, making advanced AI-assisted development accessible to a broader range of users.

](https://www.g2.com/products/magistral-small/reviews "Magistral Small")[

9

 ![Mistral Small 3.2 Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_071436818a6df3d1f0b2ef791eec5b74/mistral-small-3-2.jpg "Mistral Small 3.2 Logo")

Mistral Small 3.2

4.2

 (8) 

Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments. Key Features and Functionality: - Multi-Language Support: Trained on a diverse dataset encompassing more than 80 programming languages, ensuring adaptability to different development projects. - Code Completion and Generation: Capable of completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism, thereby streamlining the coding process. - Integration with Development Environments: Accessible via a dedicated endpoint (`codestral.mistral.ai`), facilitating seamless integration into various Integrated Development Environments (IDEs). Primary Value and User Solutions: Codestral significantly enhances developer productivity by automating routine coding tasks, reducing the time and effort required for code completion and test generation. Its extensive language support and advanced code understanding minimize errors and bugs, allowing developers to focus on complex problem-solving and innovation. By integrating smoothly into existing workflows, Codestral democratizes coding, making advanced AI-assisted development accessible to a broader range of users.

](https://www.g2.com/products/mistral-small-3-2/reviews "Mistral Small 3.2")[

10

 ![Mistral Saba Logo](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_071436818a6df3d1f0b2ef791eec5b74/mistral-saba.jpg "Mistral Saba Logo")

Mistral Saba

4.4

 (7) 

Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments. Key Features and Functionality: - Multi-Language Support: Trained on a diverse dataset encompassing more than 80 programming languages, ensuring adaptability to different development projects. - Code Completion and Generation: Capable of completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism, thereby streamlining the coding process. - Integration with Development Environments: Accessible via a dedicated endpoint (`codestral.mistral.ai`), facilitating seamless integration into various Integrated Development Environments (IDEs). Primary Value and User Solutions: Codestral significantly enhances developer productivity by automating routine coding tasks, reducing the time and effort required for code completion and test generation. Its extensive language support and advanced code understanding minimize errors and bugs, allowing developers to focus on complex problem-solving and innovation. By integrating smoothly into existing workflows, Codestral democratizes coding, making advanced AI-assisted development accessible to a broader range of users.

](https://www.g2.com/products/mistral-saba/reviews "Mistral Saba")
[Show More](#)

##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

[
View More Pricing Information
](https://www.g2.com/products/bloom-1b7/pricing)

## Work at Hugging Face?

Claim this profile to respond to reviews, update product info, and reach in-market buyers.

[
Claim this profile
](https://www.g2.com/products/bloom-1b7/claim_requests/new?utm_medium=profile-footer-claim-cta&utm_source=g2)

##### Categories on G2

[Small Language Models (SLMs)](https://www.g2.com/categories/small-language-models-slms)

##### Explore More

[Is ENPS worth it for newsroom management?](https://www.g2.com/discussions/is-enps-worth-it-for-newsroom-management)[Knock vs Courier vs SuprSend for a software team building high-volume notification infrastructure: which notification infrastructure platform gives the best combination of fast integration, reliability, and multi-channel delivery?](https://www.g2.com/discussions/knock-vs-courier-vs-suprsend-for-a-software-team-building-high-volume-notification-infrastructure-which-gives-the-best-combination-of-fast-integration-reliability-and-multi-channel-delivery)[Top ABM ad tools for targeting enterprise accounts](https://www.g2.com/discussions/top-abm-ad-tools-for-targeting-enterprise-accounts)

[Is there a free or low-cost SMS marketing tool that actually works for small teams, or do you need a paid plan to get real features?](https://www.g2.com/discussions/is-there-a-free-or-low-cost-sms-marketing-tool-that-actually-works-for-small-teams-or-do-you-need-a-paid-plan-to-get-real-features)[Best cloud-based construction estimating solutions](https://www.g2.com/discussions/what-are-the-best-cloud-based-construction-estimating-solutions)[Top conversation intelligence platforms for business](https://www.g2.com/discussions/top-conversation-intelligence-platforms-for-business)

[Show MoreShow Less](javascript:void(0);)