AI Provider2026-05-17

Google DeepMind

Also known as: Google DeepMind / DeepMind / Google AI

Google's consolidated AI research division — formed by merging Google Brain and DeepMind — responsible for Gemini, Gemma, Veo, Imagen, AlphaFold, and other flagship AI research and products.

Overview

In 2026, Google DeepMind continued major releases including Deep Research Max in Gemini 3.1 Pro, Gemma 4 open-weights, and Veo 3 audio-synced video. AI integration into Google Search and Workspace is accelerating.

Research areas

Research spans LLMs, multimodal AI, scientific AI (protein structure prediction), and reinforcement learning. Also leading development of autonomous AI agents.

Summary of Google's Deep Research and Deep Research Max, announced April 21, 2026, built on Gemini 3.1 Pro: MCP support, native visualizations, long-horizon research workflows, DeepSearchQA 93.3% / Humanity's Last Exam 54.6%, and paid preview availability via the Gemini API — based on official sources.

Gemma 4 Complete Guide — Features, System Requirements & Ollama Setup [2026]

Complete guide to Google Gemma 4 (released April 2, 2026): 4 model variants (E2B/E4B/26B MoE/31B Dense), Apache 2.0 license, system requirements, multimodal capabilities, AIME 89% benchmark, 140+ languages, and step-by-step Ollama installation and setup instructions.

Gemma 4 vs Llama 4 vs Qwen 3.5 Comparison — 2026 Local LLM Selection Guide

Comprehensive comparison of Gemma 4, Llama 4, and Qwen 3.5 local LLMs. Detailed analysis of benchmark performance, licensing, Japanese support, hardware requirements, and use case selection criteria.

WeatherNext 3: Google's Hourly, 5km-Resolution Weather AI

A technical look at WeatherNext 3, Google DeepMind's weather AI launched Sep 2026, covering direct satellite training for hourly 5km forecasts and API access.

Gemini 3.8 Flash: Pricing, Benchmarks, and the Cyber Variant

Gemini 3.8 Flash launched Sep 2, 2026 at $0.75/$3.75 per 1M tokens, flat versus 3.7 Flash but only through Dec 31. Covers context, benchmarks and Cyber.

[Cerebras Inference Runs Multimodal Gemma 4 31B](https://www.cerebras.ai/blog/gemma-4-on-cerebras-the-fastest-inference-is-now-multimodal) Deep Dive (Announced 2026-06-29) — 1,851 Output Tokens per Second (35× a Typical GPU Endpoint), Cerebras's First Multimodal Model Accepting Images / Screenshots / Charts / UI States, the First Google DeepMind Model on the Platform, Apache 2.0 Open Weights, 18× Faster Than Claude Haiku 4.5 at a Comparable Intelligence Index of 29 Unlocking Practical "Computer Use / Image-Driven Agents / UI Debugging / Dashboard Analysis" at Wafer-Scale

**On 2026-06-29 Cerebras launched [Gemma 4 31B on Cerebras Inference](https://www.cerebras.ai/blog/gemma-4-on-cerebras-the-fastest-inference-is-now-multimodal)** — the platform's **first multimodal model** and the **first Google DeepMind model** available on it, in public preview. **Performance**: **1,851 output tokens/second** (**35× a typical GPU endpoint**), **≤1.5 s to first token including reasoning**, **[Artificial Analysis Intelligence Index of 29](https://artificialanalysis.ai/)** (comparable to Claude Haiku 4.5's 30), and **18× the speed of Haiku on Cerebras**. **Model specs**: **[Gemma 4 31B](../columns/gemma-4-technical-report-2026-07) dense architecture** (not MoE), **Apache 2.0 open weights**, long-context capable, and image understanding (screenshots, charts, documents, UI states, diagrams, scanned pages, forms). **Distinctive value**: unlocks multimodal workloads that used to be impractical on GPUs — **computer use, image-driven agentic loops, UI debugging with code-patch generation, real-time dashboard analysis, long-document summarization** — at wafer-scale speed. **Position**: the [Gemma 4 Technical Report](../columns/gemma-4-technical-report-2026-07) covered Google DeepMind's open-weights strategy; combined with **Cerebras's wafer-scale hardware, it reaches a new "multimodal × fast inference × open weights" infrastructure stack** — the open-weights + fast-inference camp's counter to the closed-model camp underlying [OpenAI GPT-5.6 + ChatGPT Work](../columns/openai-chatgpt-work-launch-2026-07) and [Claude Cowork](../columns/claude-cowork-web-mobile-launch-2026-07). Paired with [Nous Portal's 300+ neutral models](../columns/nous-portal-cloud-hermes-agent-2026-07) or [local LLM deployments](../columns/local-llm-landscape-2026-june-update), it becomes part of the **late-2026 open-weights-practical AI infrastructure stack**. **Cerebras Inference Cloud public preview** (limited time), with details in the [API docs](https://inference-docs.cerebras.ai/models/gemma-4-31b).

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