Gemini Articles
Browse 222 articles about Gemini.
What Is the Gemma 4 Mixture of Experts Architecture? How 26B Parameters Run Like 4B
Gemma 4's MoE model activates only 3.8B of 26B parameters at a time using 128 tiny experts. Learn how this delivers 27B-class intelligence at 4B compute cost.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With Image Segmentation
Combining Gemma 4 with Falcon Perception creates an agentic pipeline that counts objects, segments images, and reasons across modalities. Here's how it works.
Google Flow Pricing Explained: Credits, Tiers, and What You Actually Get
Google Flow uses a credit system across Free, Pro, and Ultra tiers. Here's a complete breakdown of what each tier costs and how many videos you can generate.
What Is Gemma 4? Google's First Apache 2.0 Multimodal Reasoning Model
Gemma 4 ships under an Apache 2.0 license with native audio, vision, function calling, and reasoning. Here's what makes it a breakthrough for open-weight AI.
What Is Gemma 4's Audio Encoder? How the E2B and E4B Models Handle Speech Recognition
Gemma 4's edge models have a 50% smaller audio encoder than Gemma 3N, with 40ms frame duration for more responsive transcription. Here's how it works.
What Is Gemma 4's Mixture of Experts Architecture? How 26B Parameters Run Like a 4B Model
Gemma 4's MoE model has 128 experts with 8 active per token, giving you 27B-level intelligence at 4B compute cost. Here's the architecture explained.
Gemma 4 vs Qwen 3.6 Plus: Which Open-Weight Model Is Better for Agentic Workflows?
Gemma 4 ships with Apache 2.0 and native function calling. Qwen 3.6 Plus has a 1M token context window. Here's how they compare for agent use cases.
Gemma 4 E2B vs E4B: How to Run a Multimodal AI Model on Your Phone
Gemma 4's edge models support audio, vision, and function calling in under 4B parameters. Here's how to run them locally on Android and iOS devices.
How to Run Gemma 4 Locally on Your Phone or Laptop With the Google AI Edge Gallery
Google AI Edge Gallery lets you download and run Gemma 4 models locally on Android and iOS with no cloud connection. Here's how to set it up in minutes.
What Is Gemma 4? Google's Apache 2.0 Open-Weight Model With Native Audio and Vision
Gemma 4 ships under Apache 2.0 with native audio, vision, function calling, and thinking. Here's what makes it different from every previous Gemma release.
Veo 3.1 Light at $0.05: How It Stacks Up on Price vs Runway and Kling
Veo 3.1 Light costs $0.05 per clip. Here's how its pricing compares to Runway Gen-3 Turbo, Kling, Minimax Hailuo, and Pika at the budget tier in 2026.
Gemma 4 vs Qwen 3.5: Which Open-Weight Model Should You Use for Local AI Workflows?
Compare Gemma 4 and Qwen 3.5 on performance, size, context window, and local deployment to find the best open-weight model for your agentic workflows.
Inside Gemini's Gmail Features: Catch Me Up, Drafting, and To-Dos
A feature-by-feature look at Gemini's Gmail tools: thread summaries, Catch Me Up, AI drafting, and suggested to-dos — plus how each one works in practice.
What Is Google Gemma 4? The Apache 2.0 Open-Weight Model With Native Audio and Vision
Gemma 4 is Google's first truly open-source model family under Apache 2.0. It runs on phones, supports audio and vision, and rivals closed-source models.
Google Veo 3.1 Light Capabilities: A Technical Model Breakdown
A technical breakdown of Google Veo 3.1 Light: what 720p output looks like, clip length limits, prompt handling, and the full capability ceiling of the model.
What Is Gemma 4's Apache 2.0 License? Why It Matters More Than the Model Itself
Gemma 4 ships under Apache 2.0—not a custom restricted license. Here's what that means for commercial use, fine-tuning, and building on top of Google's models.
How to Run Gemma 4 Locally with Ollama: Step-by-Step Setup Guide
Learn how to download and run Google's Gemma 4 locally using Ollama, check VRAM requirements, and connect it to Claude Code for free.
MAI Transcribe 1 vs OpenAI Whisper vs Gemini Flash: Which Speech Model Wins?
Compare Microsoft MAI Transcribe 1, OpenAI Whisper, and Gemini 3.1 Flash on accuracy, noise handling, and multilingual support.
Recraft V4 vs Imagen 3 vs Midjourney: Which AI Image Model Is Best for Brand Assets?
Compare Recraft V4, Imagen 3, and Midjourney for professional brand design work including logos, vectors, product mockups, and text rendering.
Choosing a Veo 3.1 Tier on Gemini API and Vertex AI
How to pick the right Veo 3.1 tier on Gemini API or Vertex AI based on quality, native audio, and speed. A workflow-first guide to Google's video model lineup.