Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
The current, most capable model that runs on a single GPU.
Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.
Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1
Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones.
EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.
A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.
MedGemma 1.5 4B is an updated version of the MedGemma 4B model.
FunctionGemma is a specialized version of Google's Gemma 3 270M model fine-tuned explicitly for function calling.
EmbeddingGemma is a 300M parameter embedding model from Google.
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.
ShieldGemma is set of instruction tuned models for evaluating the safety of text prompt input and text output responses against a set of defined safety policies.
The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
As a next-generation Flash model, M3.1 Flash delivers a generational leap in agentic tasks, coding, Computer Use and cybersecurity, while making online inference nearly three times faster and reducing usage costs by 70%.
Z.ai's flagship model and the most capable open-weights model for coding, with major gains on long-horizon agentic tasks.
Mistral Large 4 is Mistral's open-weight, general-purpose multimodal model. Its granular Mixture-of-Experts design activates 52B of 1.05T total parameters, with a 1.6B vision encoder handling images.
A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.
Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.
Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.