--- title: Llama Reviews meta_title: 'Llama Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 153 reviews by the users' company size, role or industry to find out how Llama works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 153 scale: '5' date_modified: '2026-07-17' parent_category: name: Generative AI url: https://www.g2.com/categories/generative-ai --- # Llama Reviews **Vendor:** Meta **Category:** [Large Language Models (LLMs) Software](https://www.g2.com/categories/large-language-models-llms) **Average Rating:** 4.3/5.0 **Total Reviews:** 153 ## About 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. ## Llama Pros & Cons **What users like:** - Users praise the **high accuracy** of Meta LLaMA 3, enhancing interactions with its advanced contextual understanding. (38 reviews) - Users find Llama 3 to be **exceptionally easy to use** , streamlining complex tasks with fast, accurate responses. (32 reviews) - Users commend the **speed and accuracy** of Meta Llama 3, finding it significantly improves response quality for tasks. (31 reviews) - Users value the **open-source nature** of Llama, enabling cost-effective hosting and fostering innovative AI tool development. (27 reviews) - Users appreciate the **helpfulness** of Llama, noting its quick responses and advanced contextual understanding for various applications. (24 reviews) - Access (20 reviews) - Artificial Intelligence (19 reviews) - Content Creation (15 reviews) - Understanding (15 reviews) - Customization (12 reviews) **What users dislike:** - Users face **limitations in capabilities** , particularly in text recognition, table creation, and indexing support for specific use cases. (29 reviews) - Users find Llama's **slow performance** frustrating, especially compared to other AI models like OpenAI's offerings. (18 reviews) - Users report **poor response quality** from Llama, with issues like repetition and duplicative answers from prompts. (16 reviews) - Users report **inaccuracies** in responses from Llama, necessitating careful verification to ensure reliability. (13 reviews) - Users note a **limited understanding** in Llama 3, particularly during complex interactions and context retention. (11 reviews) - Expensive (9 reviews) - Complex Setup (8 reviews) - Data Privacy (7 reviews) - Accuracy Issues (6 reviews) - Limited Language Support (6 reviews) - [View Llama pricing details and edition comparison](https://www.g2.com/products/llama/reviews?page=7§ion=pricing&secure%5Bexpires_at%5D=2026-08-02+05%3A25%3A21+-0500&secure%5Bsession_id%5D=cf3db222-0814-47d0-91de-f05260596038&secure%5Btoken%5D=3a7c6720835a8a82432f09caa7a457300b57abd528be6cf9d5e36db015967db0&format=llm_user) ## Llama Features **Performance** - Quality of Responses - Contextual Understanding - Efficiency in Multi-turn Conversations - Response Generation Speed - Domain Adaptability **Usability** - Integration Ease - API User-Friendliness - Customization Flexibility - Quality of Documentation - Support Effectiveness **Ethics & Compliance** - Bias Mitigation - Data Privacy Protection - Content Moderation - Transparency and Explainability - Ethical Guidelines Adherence **Generative AI - Large Language Models (LLMs)** - Text Generation - Text-to-Speech - Text-to-Image - Text-to-Music - Text-to-3D - Text-to-Video - Text Summarization - Image-to-Text ## Top Llama Alternatives - [ChatGPT](https://www.g2.com/products/chatgpt/reviews) - 4.6/5.0 (2,713 reviews) - [Gemini](https://www.g2.com/products/google-gemini/reviews) - 4.4/5.0 (364 reviews) - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - 4.6/5.0 (408 reviews)