Gemma 4 vs. LFM3 Comparison


Gemma 4 Google	LFM3 Liquid AI	+	+
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About Gemma 4 is an AI model introduced by Google and built on the Gemini architecture to deliver improved performance and flexibility. The model is designed to run efficiently on a single GPU or TPU, making it more accessible to developers and researchers. Gemma 4 enhances capabilities in natural language understanding and text generation, supporting a wide range of AI-driven applications. Its architecture allows it to handle complex tasks while maintaining efficient resource usage. Developers can use the model to build applications that rely on advanced language processing and automation. The design emphasizes scalability so that it can support both smaller projects and larger AI systems. By combining efficiency with powerful language capabilities, Gemma 4 helps advance the development of modern AI solutions.	About LFM3 is Liquid AI’s family of compact, open-weight foundation models for text, vision, audio, and multimodal tasks. The release includes text-generation, vision-language, audio, omni, and decision-model variants. Developers can download the model weights, adapt supported models through fine-tuning, and run them locally on edge hardware or access them through Liquid AI’s hosted API. Use cases include conversational assistants, tool calling, speech transcription and generation, image and video understanding, document extraction, classification, routing, and robotics applications. LFM3 is intended for developers, researchers, and organizations building specialized AI applications that need flexible deployment choices, including local inference. Open-weight models are available under Liquid AI’s LFM Open License; commercial eligibility and terms depend on an organization’s annual revenue.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers, AI researchers, and organizations that want an efficient and scalable language model for building AI-powered applications and research projects	Audience Developers, AI researchers, and organizations building specialized AI applications, including applications using local or edge inference.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing $0.08/MTok LFM3-1.7B API usage is $0.08 per million input tokens, $0.02 per million cached input tokens, and $0.20 per million output tokens. New organizations receive $2 in API credit. Open-weight models can be used in production free by developers, researchers, nonprofits, and businesses with less than $10 million in annual revenue; businesses above that threshold require a paid license. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Gemma 4 delivers exceptional performance for an open model. Responses are fast, accurate, and reliable across coding, reasoning, and general knowledge tasks. The model supports multimodal inputs, native system prompts, and function calling, making it an excellent choice for developers building AI applications. It is optimized to run efficiently on consumer GPUs and even smaller devices, offering impressive speed without sacrificing quality. Cons The largest models still require capable hardware to unlock their full potential. Some advanced enterprise features and cloud integrations may require additional setup compared to fully managed AI services.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Google Founded: 1998 United States deepmind.google/models/gemma/	Company Information Liquid AI Founded: 2023 United States www.liquid.ai/blog/lfm3
Alternatives GPT-6.1 Terra OpenAI	Alternatives Gemma 4 Google
GPT-6.1 Sol OpenAI	LFM2.5 Liquid AI
GPT-5.6 Sol OpenAI	Qwen3.5 Alibaba
Gemma 3 Google	Inkling Thinking Machines Lab
Gemma Google View All	Qwen3.8-27B Alibaba View All
Categories AI Models Supported Large Language Models Supported Open-Weight AI Models Supported Small Language Models Supported	Categories AI Coding Models Supported AI Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations Hugging Face Supported Ollama Supported Vercel AI Gateway Supported CSS Supported Clojure Supported Gemini Supported Gemini Enterprise Agent Platform Supported Julia Supported LM Studio Not Supported Locally AI Supported OpenCode Supported OpenRouter Not Supported Parasail Supported R Supported RagmyAI Supported Scala Supported TypeScript Supported Unsloth Not Supported Visual Basic Supported vLLM Not Supported Show More Integrations View All 49 Integrations	Integrations Hugging Face Supported Ollama Supported Vercel AI Gateway Supported CSS Not Supported Clojure Not Supported Gemini Not Supported Gemini Enterprise Agent Platform Not Supported Julia Not Supported LM Studio Supported Locally AI Not Supported OpenCode Not Supported OpenRouter Supported Parasail Not Supported R Not Supported RagmyAI Not Supported Scala Not Supported TypeScript Not Supported Unsloth Supported Visual Basic Not Supported vLLM Supported Show More Integrations View All 8 Integrations
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