Best Enterprise Large Language Models (LLMs) Software

How Many Large Language Models (LLMs) Software Products Does G2 Track?

Total Products under this Category: 38

Category Stats (Nov 2026)

  • Average Rating: 4.39/5 (↑0.05 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Sutra (+6.25%) - Among all products in this category, Sutra recorded the largest rating increase compared to last month

Last updated: November 11, 2026

How Does G2 Rank Large Language Models (LLMs) Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 9,500+ Authentic Reviews
  • 38+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Large Language Models (LLMs) Software

G2 Grid® for Large Language Models (LLMs) Software plotting products by satisfaction and market presence

Highlighted products: ChatGPT, Gemini, Claude, and Llama.

Underlying data: [Grid® JSON](https://www.g2.com/categories/large-language-models-llms/grids.json?focus%5B%5D=chatgpt&focus%5B%5D=google-gemini&focus%5B%5D=claude&focus%5B%5D=llama&segment=enterprise)

ChatGPT

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 applications, including drafting emails, writing code, creating content, and providing detailed explanations on various topics. ChatGPT is continually evolving to enhance user experience and meet diverse needs. Key Features and Functionality: - Natural Language Understanding: ChatGPT can comprehend and generate text that closely resembles human conversation, making interactions intuitive and engaging. - Versatile Applications: It supports tasks such as content creation, coding assistance, learning new concepts, and more, catering to both personal and professional use cases. - Continuous Improvement: OpenAI regularly updates ChatGPT to improve its performance, accuracy, and safety, ensuring it remains a reliable tool for users. Primary Value and User Solutions: ChatGPT addresses the need for efficient and accessible assistance in various domains. By leveraging its advanced language processing capabilities, it helps users save time, enhance productivity, and access information seamlessly. Whether it's drafting documents, learning new subjects, or automating routine tasks, ChatGPT provides a valuable resource that adapts to individual requirements, making it an indispensable tool in today's digital landscape.

Average Rating: 4.6/5.0

Total Reviews: 4,758

How Do G2 Users Rate ChatGPT?

  • Quality of Support: 8.5/10 (Category avg: 7.9/10)
  • Content Moderation: 8.3/10 (Category avg: 8.4/10)
  • Contextual Understanding: 8.1/10 (Category avg: 8.7/10)
  • Bias Mitigation: 7.7/10 (Category avg: 8.1/10)

Who Is the Company Behind ChatGPT?

  • Seller: OpenAI
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,438 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Small, 27% Medium

What Do G2 Reviewers Say About ChatGPT?

AI-generated summary from verified user reviews

Pros
  • Users find the interface intuitive and easy to navigate, making it accessible without technical expertise.
  • Users value its fast responses, which deliver useful answers and complete requests in little time.
  • Users value time saved on writing, research, and routine tasks, helping them finish faster and focus on higher-level priorities.
  • Users find setup and getting started easy and quick, with little need for tutorials or extra configuration.
  • Users say it boosts productivity and makes everyday work easier, helping them complete more tasks efficiently.
Cons
  • Users say answers can be inaccurate or fabricated, making it hard to rely on the information.
  • Users say it often misreads context and intent, leading to off-target answers even when questions or instructions are detailed.
  • Users find the answers too generic and often lacking the specific, practical detail they need.
  • Users say responses, loading, and task completion can be slow, especially for complex requests or during busy periods.
  • Users say it forgets earlier context and instructions, especially in long conversations and across chats.

What Are Recent G2 Reviews of ChatGPT?

What Are G2 Users Discussing About ChatGPT?

Gemini

Gemini is a family of multimodal, generative AI models. These models were developed by Google DeepMind and Google Research. They are designed to understand, operate across, and combine different types of information. This includes text, images, audio, video, and code. Gemini serves as a versatile, everyday AI assistant and powers a conversational chatbot. Key Product Features & Capabilities Multimodal Understanding: Gemini understands and combines text, images, audio, video, and code. It can analyze complex documents, code repositories, and long videos. Conversational AI: Gemini allows for natural conversations. It functions as an intelligent assistant that can brainstorm, plan, and discuss topics. Deep Research & Analysis: Gemini can analyze websites and user files to generate reports. It can also create audio overviews of the information. Agentic Capabilities: Users can create custom "Gems" (specialized AI experts). The models can act as agents to take actions in tools like Chrome. Integrated Productivity: Gemini is integrated into Gmail, Google Docs, Drive, and Meet. This helps summarize, write, edit, and organize information. Creative Tools: Features include image generation and video creation, enabling the generation of 8-second videos with sound. Long Context Window: High-end models feature up to a 1 million-token context window. This is capable of analyzing large amounts of data.

Average Rating: 4.4/5.0

Total Reviews: 1,426

How Do G2 Users Rate Gemini?

  • Quality of Support: 8.5/10 (Category avg: 7.9/10)
  • Content Moderation: 8.2/10 (Category avg: 8.4/10)
  • Contextual Understanding: 7.8/10 (Category avg: 8.7/10)
  • Bias Mitigation: 8.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Gemini?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Student, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 60% Small, 28% Medium

What Do G2 Reviewers Say About Gemini?

AI-generated summary from verified user reviews

Pros
  • Users find it straightforward to navigate and use, helping it fit easily into everyday workflows.
  • Users find setup simple and quick, often getting started with just a Google sign-in.
  • Users appreciate the fast responses, which help them get answers and process information quickly.
  • Users like how it saves time on everyday tasks, helping them work more efficiently.
  • Users appreciate seamless Google Workspace integration, letting them use Gemini directly across apps like Gmail, Docs, and Drive.
Cons
  • Users say answers can be confidently inaccurate and need fact-checking.
  • Users say answers can be too generic, lack useful detail, or provide insufficient practical guidance for specific tasks.
  • Users say it often misunderstands prompts, misses context, and gives answers that go off topic.
  • Users say response quality and results can vary unpredictably across prompts and repeated attempts.
  • Users say it forgets earlier details and instructions, especially in longer conversations.

What Are Recent G2 Reviews of Gemini?

Claude

Claude is an AI assistant from Anthropic that helps people and teams get work done through conversation, coding, delegated tasks, and collaboration. Available on desktop, web, and mobile, Claude is built on a family of frontier models (Claude Mythos, Opus, Sonnet, and Haiku) that range from the most capable to the most cost-effective, so teams can match intelligence to the task. Key Features and Functionality: - Chat: Collaborate with Claude on writing, analysis, research, and problem solving, with file uploads, projects that keep context across conversations, memory, web search, and artifacts for real-time documents and code. - Code: Build software with Claude Code, a coding agent that plans, writes, edits, tests, and debugs across large codebases, available in the terminal, desktop app, web, and mobile, with native GitHub and IDE integrations. - Cowork: Delegate multi-step tasks to Claude in plain language. Claude works across local files, connected apps, and the desktop, and returns finished documents, spreadsheets, presentations, and organized folders. An open plugin system bundles skills, data connectors, and workflows. - Tag: Bring Claude into Slack and other team tools. Tag Claude into any channel or thread and it drafts, analyzes, and answers in context, using shared documents and channel memory. - Specialized products: Claude Security (vulnerability detection and patch suggestions for security teams), Claude Design (designs, prototypes, and presentations from natural language), and Claude Science (an AI workbench for scientific research). - Connectors and extended context: Connect Claude to the tools and data teams already use, including the Model Context Protocol, and analyze large documents and codebases with long context and extended thinking. - Enterprise-grade security: Claude Enterprise includes Single Sign-On (SSO), role-based permissions, audit logs, and custom data retention controls. Primary Value and User Solutions: Claude gives individuals and organizations one assistant for everyday knowledge work, software development, and delegated tasks. Employees get faster research, writing, analysis, and coding. Teams collaborate with Claude where they already work. Enterprises get the administrative controls and security needed to deploy AI across the business.

Average Rating: 4.7/5.0

Total Reviews: 1,770

How Do G2 Users Rate Claude?

  • Quality of Support: 8.5/10 (Category avg: 7.9/10)
  • Content Moderation: 6.9/10 (Category avg: 8.4/10)
  • Contextual Understanding: 8.6/10 (Category avg: 8.7/10)
  • Bias Mitigation: 7.9/10 (Category avg: 8.1/10)

Who Is the Company Behind Claude?

Who Uses This Product?

  • Who Uses This: Student, Founder
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 58% Small, 33% Medium

What Do G2 Reviewers Say About Claude?

AI-generated summary from verified user reviews

Pros
  • Users value Claude's ease of use, allowing for clear, structured, and organized content creation effortlessly.
  • Users value Claude for its deep discussion capabilities and effective context management for intellectual pursuits.
  • Users find Claude to be exceptionally helpful for deep discussions, aiding in intellectual work and creative projects.
  • Users commend the accuracy of Claude, noting its well-articulated and thoroughly researched answers.
  • Users value Claude's clarity and structured communication, which greatly enhances health education and patient interactions.
Cons
  • Users face usage limitations with Claude, including access restrictions, performance inconsistency, and file handling issues.
  • Users note significant limitations with Claude, including focus on text, lack of visual support, and slow responsiveness.
  • Users find Claude's limited functionality restricts visual content creation and rapid research, impacting efficiency and usability.
  • Users find that Claude can be overly cautious and long-winded, hindering quick and effective responses.
  • Users find the resource limitations frustrating, impacting productivity and increasing costs for their workload management.

What Are Recent G2 Reviews of Claude?

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Llama

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 across 12 languages. Built on a mixture-of-experts (MoE) architecture with 128 experts, it activates 17 billion parameters per forward pass out of a total of 400 billion, ensuring efficient processing. Optimized for vision-language tasks, Maverick is instruction-tuned to exhibit assistant-like behavior, perform image reasoning, and facilitate general-purpose multimodal interactions. It features early fusion for native multimodality and supports a context window of up to 1 million tokens. Trained on approximately 22 trillion tokens from a curated mix of public, licensed, and Meta-platform data, with a knowledge cutoff in August 2024, Maverick was released on April 5, 2025, under the Llama 4 Community License. It is well-suited for research and commercial applications requiring advanced multimodal understanding and high model throughput. Key Features and Functionality: - Multimodal Input Support: Processes both text and image inputs, enabling comprehensive understanding and generation capabilities. - Multilingual Output: Generates text and code outputs in 12 languages, including Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese. - Mixture-of-Experts Architecture: Utilizes 128 experts with 17 billion active parameters per forward pass, optimizing computational efficiency and performance. - Instruction-Tuned: Fine-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interactions, enhancing its applicability across various tasks. - Extended Context Window: Supports a context length of up to 1 million tokens, facilitating the processing of extensive and complex inputs. Primary Value and User Solutions: Llama 4 Maverick 17B Instruct addresses the growing demand for advanced AI models capable of understanding and generating content across multiple modalities and languages. Its multimodal and multilingual capabilities make it an invaluable tool for developers and researchers working on applications that require nuanced language understanding, image processing, and code generation. The model's instruction-tuned nature ensures it can perform a wide range of tasks with high accuracy, from serving as an intelligent assistant to executing complex reasoning tasks. Its efficient architecture and extended context window allow for the handling of large-scale data inputs, making it suitable for both research and commercial applications that demand high throughput and advanced multimodal understanding.

Average Rating: 4.3/5.0

Total Reviews: 151

How Do G2 Users Rate Llama?

  • Quality of Support: 7.1/10 (Category avg: 7.9/10)
  • Content Moderation: 7.6/10 (Category avg: 8.4/10)
  • Contextual Understanding: 8.5/10 (Category avg: 8.7/10)
  • Bias Mitigation: 7.8/10 (Category avg: 8.1/10)

Who Is the Company Behind Llama?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 58% Small, 24% Medium

What Do G2 Reviewers Say About Llama?

AI-generated summary from verified user reviews

Pros
  • Users value the natural and accurate text generation of Llama, enhancing clarity and professionalism in communications.
  • Users appreciate the ease of use with Llama, enjoying straightforward setup and excellent community support.
  • Users value the speed of Llama 3 70B, enhancing productivity with fast, natural, and professional content generation.
  • Users value the customizability of Llama as an open-source LLM, making it an efficient personal AI assistant.
  • Users find Llama 3 to be user-friendly, with excellent support and a variety of practical applications.
Cons
  • Users find that Llama can sometimes sound too formal and robotic, affecting its effectiveness in communication.
  • Users report slow performance with Llama, leading to delays and subpar problem-solving capabilities.
  • Users report poor response quality with Llama, facing issues like generic replies and frustrating search result fluctuations.
  • Users note the inaccuracy of answers from Llama, often requiring additional prompts for better results.
  • Users find Llama's limited understanding and reasoning capabilities not comparable to others like GPT-4O and Claude 3.5.

What Are Recent G2 Reviews of Llama?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated