Aymo AI
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Gemma 4
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MiniMax-M3

Gemma 4 vs MiniMax-M3

Compare Gemma 4 and MiniMax-M3 side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.

Overview

Gemma 4 vs MiniMax-M3 Overview

Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.

Gemma 4

Google / Gemma 4

pro

Description

Google's open model family, and the one you can run on your own hardware. Gemma 4 handles text, images, and video, parses documents and handwriting, and was trained across more than 140 languages. Its image understanding is unusually detailed, covering OCR, charts, and screen layouts. Weights are open, so it can be self-hosted or run offline entirely, which no closed frontier model allows.

MiniMax-M3

MiniMax / MiniMax-M3

pro

Description

MiniMax’s flagship, and the first open-weight model to combine frontier coding, a million-token context, and native multimodality in one place. M3 reads text, images, and video, and can operate a desktop computer. Multimodal training ran from step zero rather than being bolted on later. Weights are open. Built for long-horizon agent work that runs for hours rather than seconds.

About

Provider
Gemma 4
Google
Speed
Quality
Cost

About

Provider
MiniMax-M3
MiniMax
Speed
Quality
Cost

Capabilities

ReasoningVisionFile ContextImage Context

Capabilities

ReasoningVisionImage Context

Comparison

Why Use Gemma 4 and MiniMax-M3?

Aymo gives you more than access to individual models—it provides a complete multi-model AI workspace designed for productivity.

Gemma 4

Google / Gemma 4

pro

Coding That Runs Offline

Google positions Gemma 4 as a code-generation, completion, and correction tool and says it can turn a workstation into a local-first coding assistant. Function calling is native, so it can drive tools.

Configurable Thinking Modes

Google describes every model in the family as a capable reasoner with configurable thinking modes, so you can trade depth against speed on a task-by-task basis rather than being locked to one setting.

Room for Repositories and Long Documents

A 256,000-token context window on the larger sizes. Google says this is enough to pass whole repositories or long documents in a single prompt without chunking them into separate requests.

Writing in Many Languages

Trained natively on more than 140 languages, with out-of-the-box support for over 35. The broadest multilingual coverage of any model here, and the reason it suits non-English writing.

Analysis Without Live Search

Reads and analyses whatever you give it, including PDFs, charts, and tables. It has no native web search, so anything current has to be supplied or fetched through a tool you connect.

Images, Video, and Handwriting

Google lists object detection, document and PDF parsing, screen and UI understanding, chart comprehension, multilingual OCR, and handwriting recognition. Video is analyzed as a sequence of frames. Text and images can be interleaved freely.

MiniMax-M3

MiniMax / MiniMax-M3

pro

Frontier Coding in an Open Model

MiniMax reports significant gains over the previous generation in bug fixing, front-end and back-end development, and performance optimisation, approaching leading closed-source models. Autonomous task decomposition and tool invocation are built in.

Thinking You Toggle Per Request

Thinking mode can be switched on or off at request time, and supports interleaved thinking blocks. Turn it off for routine work, and on when a task needs multi-step reasoning before the answer.

Room for Repositories and Logs

Up to a million tokens, with a guaranteed minimum of 512,000. MiniMax built this for long-range agent tasks, whole-codebase work, and long-video understanding, so paper, code, and logs fit at once.

Writing From Charts and Papers

Reads charts, curves, and formulas directly from source documents and writes from them. MiniMax demonstrated it reproducing a research paper unaided, producing commits and experimental figures across a twelve-hour run.

Autonomous Research and Browsing

MiniMax reports strong autonomous browsing and information retrieval, plus agentic performance on office workflows including search and Office-suite tasks. Suited to research that requires finding material, not just reading it.

Images, Video, and Computer Use

Text, image, and video input, natively. MiniMax's API accepts image and video content parts directly. It can also operate a desktop computer, which is rare in an open-weight model.

Why Aymo

Why chat with Gemma 4 and MiniMax-M3 on Aymo AI?

Aymo gives you more than access to Gemma 4 and MiniMax-M3—it provides a complete multi-model AI workspace designed for productivity.

Compare Responses

See how Gemma 4 and MiniMax-M3 performs alongside Claude, Gemini, Grok, and other leading AI models.

One Workspace

Keep all your AI conversations, files, and prompts in a single organized workspace.

Switch Models Instantly

Move between different AI models without restarting your conversation.

Upload Once

Use the same files across multiple AI models without uploading them again.

Save & Organize

Bookmark important chats, organize projects, and return anytime.

Work Together

Share conversations and collaborate with teammates in one place.