Gemma 4 Open Models
Google DeepMind's most capable open-source AI model family. Multimodal understanding across text, image, video, and audio with up to 256K context and Apache 2.0 license.
Model Variants
Four purpose-built variants from edge devices to workstation-grade performance, all under the Apache 2.0 license.
Gemma 4 E2B
2B Parameters · 128K Context
Ultra-lightweight model optimized for on-device and edge deployments. Delivers strong performance in a compact footprint suitable for mobile and IoT applications.
Gemma 4 E4B
4B Parameters · 128K Context
Balanced model offering excellent quality-to-size ratio. Ideal for laptop and desktop deployments where resources are limited but high-quality output is required.
Gemma 4 26B A4B
26B Total / 4B Active Parameters · 256K Context
Sparse Mixture-of-Experts architecture with 128 experts, activating only 4B parameters per inference. Achieves large-model quality with small-model compute cost.
Gemma 4 31B
31B Parameters · 256K Context
Flagship dense model delivering state-of-the-art performance across all benchmarks. Best choice when maximum quality and reasoning depth are the priority.
Capabilities
Gemma 4 sets a new standard for open-source AI with multimodal understanding, extended context, and agentic abilities.
Multimodal Understanding
Natively processes text, images, video, and audio in a single model. Understand documents, analyze charts, describe scenes, and transcribe speech without separate pipelines.
Long Context Window
Up to 256K token context enables processing entire codebases, lengthy documents, and extended conversations without losing coherence or critical details.
Agentic Capabilities
Built-in function calling and structured JSON output enable autonomous tool use, multi-step planning, and integration with external APIs and services.
Code Generation
Achieves 80% on LiveCodeBench v6 with strong performance across code generation, debugging, refactoring, and multi-file code understanding tasks.
Multilingual Support
Trained on 140+ languages with high-quality performance across major world languages, enabling truly global deployment and cross-lingual understanding.
Advanced Reasoning
Scores 89.2% on AIME 2026 and 84.3% on GPQA Diamond, demonstrating strong mathematical reasoning, scientific analysis, and complex problem-solving abilities.
Benchmark Results
Gemma 4 delivers competitive performance across major academic and industry benchmarks, rivaling much larger proprietary models.
AIME 2026
American Invitational Mathematics Examination. Tests advanced mathematical reasoning and problem-solving on competition-level math questions.
LiveCodeBench v6
Real-time coding benchmark evaluating code generation, understanding, and debugging across multiple programming languages and difficulty levels.
GPQA Diamond
Graduate-level question answering across physics, chemistry, and biology. Tests deep scientific knowledge and multi-step analytical reasoning.
MMMLU
Massive Multitask Multilingual Language Understanding. Evaluates broad knowledge and reasoning across 140+ languages and dozens of academic subjects.
Gemma 4 Open Models
Google DeepMind's most capable open-source AI model family. Multimodal understanding across text, image, video, and audio with up to 256K context and Apache 2.0 license.