# Best Large Language Models (LLMs) Software - Page 2 ## How Many Large Language Models (LLMs) Software Products Does G2 Track? **Total Products under this Category:** 24 ### Category Stats (Aug 2026) - **Average Rating:** 4.38/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Grok (+1.35%) - Among all products in this category, Grok recorded the largest rating increase compared to last month _Last updated: August 05, 2026_ ## How Does G2 Rank Large Language Models (LLMs) Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 3,900+ Authentic Reviews - 24+ 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](https://www.g2.com/categories/large-language-models-llms/grids.png?focus%5B%5D=1251865&focus%5B%5D=1579500&focus%5B%5D=1332376&focus%5B%5D=1535318&focus%5B%5D=1535296&focus%5B%5D=1579482&focus%5B%5D=1481152) Highlighted products: ChatGPT, Claude, Gemini, Mistral AI, Deepseek, Grok, and Llama. Underlying data: [Grid® JSON](https://www.g2.com/categories/large-language-models-llms/grids.json?focus%5B%5D=chatgpt&focus%5B%5D=claude-2025-12-11&focus%5B%5D=google-gemini&focus%5B%5D=mistral-ai&focus%5B%5D=deepseek&focus%5B%5D=xai-grok&focus%5B%5D=llama) **Sponsored** ### Enterpret Enterpret empowers customer support, CX, and product teams to scale their understanding of customer feedback effortlessly. As your customer base grows and products become more complex, manually tagging and processing feedback quickly becomes unmanageable. Without comprehensive, trustworthy feedback data, product decisions often fall victim to recency bias or whoever speaks the loudest. Enterpret solves this challenge as a Unified Customer Feedback Intelligence platform, consolidating feedback from every critical channel—including Zendesk, Slack, Twitter, NPS surveys, app store reviews, and community forums—into a single source of truth. Leveraging advanced AI, Enterpret automatically categorizes and organizes feedback into a structured hierarchy, surfacing deep, actionable insights that authentically capture the Voice of the Customer. Teams rely on these insights to spot trends, enhance customer retention, drive revenue growth, prioritize effectively, and ensure alignment on the most impactful customer issues. Leading customer-centric companies like Canva, Notion, Strava, Hinge, and The Farmer's Dog use Enterpret to deliver exceptional customer experiences and fuel their growth through insightful feedback analysis. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1006318&secure%5Bchosen_at%5D=2026-08-06T07%3A55%3A06Z&secure%5Bdisplayable_resource_id%5D=2506&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1179872&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1179872&secure%5Bresource_id%5D=1006318&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Flarge-language-models-llms%3Fpage%3D2%26via%3Dbonoboai&secure%5Btoken%5D=bd52b5469c355b5e49149fe682685b10e1db2fe738465dcebc07d123fc23d836&secure%5Burl%5D=https%3A%2F%2Fwww.enterpret.com%3Futm_source%3DG2%26utm_medium%3DPPC%26utm_campaign%3DG2_PPC_FeedbackAnalytics&secure%5Burl_type%5D=custom_url) ### [Hunyuan](https://www.g2.com/products/hunyuan/reviews) Hunyuan is Tencent's advanced AI model designed to revolutionize content creation across various industries, particularly in gaming. It offers a suite of tools that enhance the development process by integrating artificial intelligence into creative workflows. Key Features and Functionality: - Image Generation Models: Hunyuan provides four specialized models for 2D art design, including text-to-image generation tailored for gaming scenarios, text-to-game visual effects, image-to-game visual effects, and transparent and seamless image generation. - Video Generation Models: The platform includes five models focused on video content, such as image-to-video generation, 360° A/T pose character video generation, dynamic illustration generation, generative video super-resolution, and interactive game video generation. - 3D World Generation: Hunyuan introduces HunyuanWorld 1.0, a framework that combines 2D and 3D generation to create immersive and interactive 3D environments. It features panoramic world image generation, agentic world layering, and layer-wise 3D world reconstruction. Primary Value and Solutions: Hunyuan addresses significant challenges in content creation by automating and enhancing the production of images, videos, and 3D models. For game developers, it streamlines the creation of assets, reduces development time, and ensures consistency across various media formats. By leveraging AI, Hunyuan empowers creators to focus on innovation and storytelling, while the model handles the technical complexities of content generation. #### Who Is the Company Behind Hunyuan? - **Seller:** [Tencent](https://www.g2.com/sellers/tencent) - **Year Founded:** 1998 - **HQ Location:** Shenzhen, Guangdong - **Twitter:** @TencentGlobal 56,308 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=87ba6dd66a23221bdfed2b4fb0864823e2c47ac8d155ae47f6c83a32167b9b65&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F166328%2F&secure%5Burl_type%5D=linkedin_company_website) 89,049 employees on LinkedIn® - **Ownership:** OTC: TCEHY ### [Nvidia Nemotron](https://www.g2.com/products/nvidia-nemotron/reviews) NVIDIA Nemotron is a family of open-source, multimodal AI models designed to empower developers and enterprises in building advanced agentic AI systems. These models excel in tasks such as complex reasoning, coding, visual understanding, and information retrieval, making them versatile tools for a wide range of applications. Key Features and Functionality: - Open Models: NVIDIA provides transparent and adaptable models, allowing developers to customize and deploy AI solutions with confidence. - High Compute Efficiency: The Nemotron family is optimized for computational efficiency, utilizing NVIDIA TensorRT-LLM to deliver higher throughput and on-demand reasoning capabilities. - High Accuracy: Post-trained with high-quality datasets, Nemotron models achieve top accuracy on leading benchmarks, ensuring reliable performance across various tasks. - Secure and Simple Deployment: Available as optimized NVIDIA NIM microservices, these models offer peak inference performance with flexible deployment options, ensuring superior security, privacy, and portability. Primary Value and Solutions: NVIDIA Nemotron addresses the growing need for transparent, efficient, and high-performing AI models in the development of agentic AI systems. By offering open models with high accuracy and compute efficiency, Nemotron enables developers and enterprises to create trustworthy AI agents capable of complex reasoning and decision-making. This empowers organizations to innovate and deploy AI solutions across various industries, enhancing productivity and driving business transformation. #### Who Is the Company Behind Nvidia Nemotron? - **Seller:** [NVIDIA](https://www.g2.com/sellers/nvidia) - **Year Founded:** 1993 - **HQ Location:** Santa Clara, CA - **Twitter:** @nvidia 2,582,827 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=78ee5403fa8a1bf981ce9ddbc58839ffedf0b07ab7bb703e5734e5f87464a603&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3608%2F&secure%5Burl_type%5D=linkedin_company_website) 48,229 employees on LinkedIn® - **Ownership:** NVDA ### [Palmyra](https://www.g2.com/products/palmyra/reviews) Writer.com’s Palmyra X5 LLM tailored for advanced writing and content generation tasks. #### Who Is the Company Behind Palmyra? - **Seller:** [Writer](https://www.g2.com/sellers/writer) - **Year Founded:** 1987 - **HQ Location:** Mumbai, IN - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5cbbafa6b80ee6b2ed90c7e84076ef2547818cb287cd2633110bf29037eb1784&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwriterinformation%2F&secure%5Burl_type%5D=linkedin_company_website) 2,325 employees on LinkedIn® ### [Qwen](https://www.g2.com/products/qwen/reviews) Aliyun’s guide on their vision AI studio tools for building and deploying vision-language models. #### Who Is the Company Behind Qwen? - **Seller:** [Alibaba Cloud](https://www.g2.com/sellers/alibaba-cloud) - **HQ Location:** Hangzhou, CN - **Twitter:** @alibaba\_cloud 1,189,812 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c4a507e1076da614e9e15f7da06514960f3efb11e680ae73941820659e9e3feb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Falibabacloudtech%2F&secure%5Burl_type%5D=linkedin_company_website) 177 employees on LinkedIn® ### [Solar](https://www.g2.com/products/upstage-solar/reviews) Solar Pro is a cutting-edge large language model (LLM) developed by Upstage, designed to deliver high-performance natural language processing capabilities while operating efficiently on a single GPU. With 22 billion parameters, it matches the performance of larger models, such as those with 70 billion parameters, but with significantly reduced computational requirements. This efficiency is achieved through Upstage's proprietary Depth-Up Scaling (DUS) method and advanced data processing techniques. Solar Pro excels in understanding structured text formats like HTML and Markdown, making it particularly adept at handling complex enterprise data. Additionally, it demonstrates superior multilingual proficiency, with notable improvements in Korean and Japanese language benchmarks, alongside consistent excellence in English. These capabilities position Solar Pro as an ideal solution for industries requiring advanced language understanding and processing, including finance, healthcare, and legal sectors. #### Who Is the Company Behind Solar? - **Seller:** [Upstage](https://www.g2.com/sellers/upstage) - **Year Founded:** 2020 - **HQ Location:** San Jose, US - **Twitter:** @upstageai 1,720 Twitter followers - **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f055376025ae22304ef941a8d4e41e5d92dd88d74cd9c6fc530a8e57b12f88da&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fupstageai&secure%5Burl_type%5D=linkedin_company_website) 134 employees on LinkedIn® ### [Stable LM](https://www.g2.com/products/stable-lm/reviews) Stable LM 2 12B is a 12.1 billion parameter decoder-only language model developed by Stability AI. Pre-trained on 2 trillion tokens from diverse multilingual and code datasets over two epochs, it is designed to generate coherent and contextually relevant text across various applications. The model employs a transformer decoder architecture with 40 layers, a hidden size of 5120, and 32 attention heads, supporting a sequence length of up to 4096 tokens. Key features include the use of Rotary Position Embeddings for improved throughput, parallel attention and feed-forward residual layers with a single input LayerNorm, and the removal of bias terms from feed-forward networks and grouped-query self-attention layers. Additionally, it utilizes the Arcade100k tokenizer, a BPE tokenizer extended from OpenAI's tiktoken.cl100k\_base, with digits split into individual tokens to enhance numerical understanding. The primary value of Stable LM 2 12B lies in its ability to generate high-quality, contextually appropriate text, making it suitable for a wide range of natural language processing tasks, including content creation, code generation, and multilingual applications. #### Who Is the Company Behind Stable LM? - **Seller:** [Stability AI](https://www.g2.com/sellers/stability-ai) - **HQ Location:** London - **Twitter:** @StabilityAI 256,849 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=95befd6d9a4ce06a6992367256bebf9b31f5d044ee170acb2a662ffac038d509&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstability-ai&secure%5Burl_type%5D=linkedin_company_website) 188 employees on LinkedIn® ### [Stepfun](https://www.g2.com/products/stepfun/reviews) StepFun is an innovative technology company specializing in the development of advanced artificial intelligence (AI) models and tools designed to enhance human-AI collaboration across various domains. By integrating cutting-edge research with practical applications, StepFun aims to provide solutions that streamline complex tasks, improve efficiency, and foster creativity. Key Features and Functionality: - Multimodal AI Models: StepFun has developed models like Step3, a multimodal reasoning model built on a Mixture-of-Experts architecture with 321 billion total parameters and 38 billion active parameters. This model is designed to minimize decoding costs while delivering top-tier performance in vision-language reasoning tasks. - End-to-End Speech Modeling: Step-Audio 2 is an end-to-end multimodal large language model engineered for industrial applications. It integrates a latent space audio encoder with audio reinforcement learning, capturing paralinguistic information and vocal style features, and adopts a CoT-reinforcement learning optimization strategy to deliver high-performance dialogue capabilities across diverse scenarios. - Autonomous Research Agents: Deep Research is an AI agent capable of autonomously completing complex, multi-step research tasks. It bridges the gap between research objectives and insights by executing multiple research steps, such as searching, web page browsing, code execution, data analysis, and visualization, delivering timely reports with high reliability and depth. - Information Verification Tools: Diligence Check is designed to provide users with a convenient, efficient, accurate, and comprehensive information verification experience. Users can input textual content or provide webpage links, and Diligence Check will automatically analyze the content to help judge the reasonableness of the information, the reliability of the source, and the level of evidential support. - Autoregressive Image Generation: NextStep-1 is a versatile and powerful autoregressive image generation model that rivals state-of-the-art diffusion-based systems. It delivers high-fidelity text-to-image generation and offers powerful image editing capabilities, supporting a wide range of editing operations and understanding everyday natural language instructions. Primary Value and Solutions Provided: StepFun's suite of AI models and tools addresses the growing need for efficient, accurate, and user-friendly solutions in information processing, research, and creative tasks. By automating complex processes and enhancing the quality of outputs, StepFun empowers users to focus on higher-level decision-making and innovation. Whether it's verifying information accuracy, conducting in-depth research, generating and editing images, or engaging in natural language dialogues, StepFun's products are designed to seamlessly integrate into users' workflows, thereby enhancing productivity and fostering creativity. #### Who Is the Company Behind Stepfun? - **Seller:** [StepFun](https://www.g2.com/sellers/stepfun) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=25887b088b919cb9ddc6356f0cb9f0679eeea9e2ab67ee08e0e04de349ceb1e2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstepfun-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 35 employees on LinkedIn® ### [Sutra](https://www.g2.com/products/two-ai-sutra/reviews) Multilingual Mixture-of-Experts model supporting 50+ languages with better MMLU performance and reduced hallucinations using online knowledge. #### Who Is the Company Behind Sutra? - **Seller:** [Two AI](https://www.g2.com/sellers/two-ai) - **Year Founded:** 2021 - **HQ Location:** Silicon Valley, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1592879af62566c862b7f0dd1868a513f7aebc56e942da51ca46791e9a10f7d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2wo&secure%5Burl_type%5D=linkedin_company_website) 49 employees on LinkedIn® ### [Yi](https://www.g2.com/products/01-ai-yi/reviews) Yi-Large is a cutting-edge large language model (LLM developed by 01.AI, designed to deliver exceptional performance in natural language understanding and generation tasks. With a substantial parameter scale, Yi-Large excels in multilingual capabilities, particularly in languages such as Spanish, Chinese, Japanese, German, and French. It is engineered to rival leading models like GPT-4, offering a cost-effective solution for complex AI applications. Key Features and Functionality: - Multilingual Proficiency: Yi-Large demonstrates strong performance across multiple languages, enabling seamless communication and content generation in diverse linguistic contexts. - Versatile APIs: The model offers various APIs tailored for specific tasks, including: - Yi-Large API: Optimized for intricate reasoning and deep content creation. - Yi-Large-Turbo API: Balances high-precision inferences with efficient text generation. - Yi-Medium API: Designed for instruction-following tasks like chat and translation. - Yi-Medium-200K API: Capable of processing extensive text inputs, ideal for long-form content. - Yi-Vision API: Specialized in image understanding and analysis. - Yi-Spark API: Emphasizes lightweight and rapid responses for tasks like code generation and text chat. - Cost Efficiency: Yi-Large is priced competitively, offering services at less than one-third the cost of comparable models like GPT-4 Turbo, making advanced AI capabilities more accessible. Primary Value and User Solutions: Yi-Large addresses the growing demand for high-performance, multilingual AI models that are both versatile and cost-effective. By providing specialized APIs, it caters to a wide range of applications, from complex reasoning and content creation to image analysis and rapid-response tasks. Its affordability ensures that businesses and developers can integrate advanced AI functionalities without incurring prohibitive costs, thereby enhancing productivity and innovation across various sectors. #### Who Is the Company Behind Yi? - **Seller:** [01 AI](https://www.g2.com/sellers/01-ai) - **Year Founded:** 2023 - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=00fd668835ca7d2073bd57a9b2fe8e46620ed3b9e47944b36ba349fa4cd6024b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F01-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 76 employees on LinkedIn® - [‹ Prev‹ Prev](/categories/large-language-models-llms?order=g2_score&via=bonoboai#product-list) - [1](/categories/large-language-models-llms?order=g2_score&via=bonoboai#product-list) - 2 - Next ›Next › Spotlight Categories [Product Lifecycle Management (PLM) Software](https://www.g2.com/categories/product-lifecycle-management-plm) [Bot Platforms Software](https://www.g2.com/categories/bot-platforms) [Core HR Software](https://www.g2.com/categories/core-hr) [Anti Money Laundering Software](https://www.g2.com/categories/anti-money-laundering) [Security Awareness Training Software](https://www.g2.com/categories/security-awareness-training) Similar Categories - [AI App Builder](/categories/ai-app-builder) - [AI AppSec Assistants](/categories/ai-appsec-assistants) - [AI Chatbots](/categories/ai-chatbots) - [AI Code Generation](/categories/ai-code-generation) - [AI Coding Assistants](/categories/ai-coding-assistants) - [AI Content Creation Platforms](/categories/ai-content-creation-platforms) - [AI Image Generators](/categories/ai-image-generators) - [AI SDK](/categories/ai-sdk) - [AI Search & Retrieval Infrastructure Platforms](/categories/ai-search-retrieval-infrastructure-platforms) - [AI Software Testing Tools](/categories/ai-software-testing-tools) - [Generative AI Infrastructure](/categories/generative-ai-infrastructure) - [Large Language Model Operationalization (LLMOps)](/categories/large-language-model-operationalization-llmops) - [Small Language Models (SLMs)](/categories/small-language-models-slms) - [Synthetic Media](/categories/synthetic-media) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated April 9, 2026 Large language models (LLMs) are advanced AI systems engineered to comprehend, interpret, and generate human-like text, leveraging transformer architectures and massive training datasets to perform tasks including translation, summarization, question answering, sentiment analysis, and content generation, and integrating into applications to automate language-heavy workflows. ### Core Capabilities of LLM Software To qualify for inclusion in the Large Language Models (LLM) category, a product must: - Offer a large-scale language model capable of comprehending and generating human-like text, made available for commercial use - Provide a language model with a parameter size greater than 10 billion - Provide robust and secure APIs or integration tools enabling businesses to incorporate the model into existing systems - Have comprehensive mechanisms in place for data privacy, ethical use, and content moderation - Deliver reliable customer support, extensive documentation, and consistent updates to ensure ongoing relevance ### Common Use Cases for LLM Software Developers and enterprises use LLMs as a foundational layer to power a wide range of language-driven applications. Common use cases include: - Powering conversational interfaces, customer support chatbots, and internal knowledge assistants - Automating content generation, summarization, and translation at scale across business workflows - Supporting reasoning-driven insights through advanced LLMs with multi-step logical reasoning capabilities ### How LLM Software Differs from Other Tools LLMs are designed to be versatile and foundational, distinct from the [AI chatbots](https://www.g2.com/categories/ai-chatbots) category, which focuses on standalone platforms for end-user interaction with LLMs, and the [synthetic media](https://www.g2.com/categories/synthetic-media) category, which covers tools for creating AI-generated media. LLMs can be open-source (freely downloadable and modifiable) or closed-source/proprietary (available only via API). Some LLMs include reasoning capabilities for complex problem-solving, while base models focus on next-token prediction for faster, pattern-based responses. ### Insights from G2 on LLM Software Based on category trends on G2, output quality and API integration flexibility stand out as the most valued capabilities. Accelerated language feature development and broad applicability across use cases stand out as primary drivers of adoption. Show More