Aymo AI
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GLM-5.2
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MiniMax-M3

GLM-5.2 vs MiniMax-M3

Compare GLM-5.2 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

GLM-5.2 vs MiniMax-M3 Overview

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

GLM-5.2

Z AI / GLM-5.2

pro

Description

Z.ai's flagship coding model is designed for agents that stay on a single task for a long time. GLM-5.2 holds a very large context that Z.ai describes as lossless, so an entire codebase fits into a single reasoning session. Trained specifically for long-horizon coding agents. Text only, with no image input. Open weights under an MIT license, so it can be self-hosted.

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
GLM-5.2
Z AI
Speed
Quality
Cost

About

Provider
MiniMax-M3
MiniMax
Speed
Quality
Cost

Capabilities

Reasoning

Capabilities

ReasoningVisionImage Context

Comparison

Why Use GLM-5.2 and MiniMax-M3?

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

GLM-5.2

Z AI / GLM-5.2

pro

Repository-Scale Engineering

Z.ai trained it for months on long-horizon coding scenarios, including large-scale implementation and performance optimisation. Developers report stronger production standards and better client-side and mobile work, including on-device debugging.

Effort Set Per Task

Two thinking effort levels, high and max. Z.ai explicitly recommends max effort for coding work, trading throughput for depth on the tasks where getting it right matters most.

Lossless Full-Scale Context

Z.ai's framing is that the point is not having a large window but making one usable. It reports stable performance across the full window rather than degradation at the far end.

Large Outputs At Once

Produces very large single responses, enough to generate or refactor big files without breaking the job into chunks and reassembling the results by hand.

Automated Research And Audits

Z.ai lists automated research among the tasks it was trained for. It can read a whole project and return an architecture map, module responsibilities, API contracts, data flows, and technical debt.

Text Only Input

Text only. No image, audio, or video input. Screenshots, diagrams, mockups, and scanned pages are outside this model's reading range, which rules them out for visual work.

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 GLM-5.2 and MiniMax-M3 on Aymo AI?

Aymo gives you more than access to GLM-5.2 and MiniMax-M3—it provides a complete multi-model AI workspace designed for productivity.

Compare Responses

See how GLM-5.2 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.