Good Day, The AI Night readers.

In today’s The AI Night:

  • Z AI Launches open source GLM-4.7 to rival industry giants

  • MiniMax Releases M2.1 Open-Source Model Purpose-Built for Agentic AI

Latest News

GLM

Z AI Launches open source GLM-4.7 to rival industry giants

Source: From Web(Z.AI)

Zhipu AI’s newly launched model GLM 4.7 has shown promising results in core coding, vibe coding, tool calling and complex reasoning. It also improves on the previous model, GLM 4.6 particularly in multilingual agentic coding and terminal based tasks.

Key Points:

  1. Core Coding: GLM 4.7 has really emerged in this arena, outperforming other models while also improving on its predecessor in multi-agent tasking. It now even supports “thinking before acting” which makes its coding abilities feel more deliberate and reliable.

  2. Vibe Coding: GLM-4.7 makes significant pace in UI quality. It generates cleaner more contemporary webpages and creates more visually appealing slides with improved layout precision and sizing accuracy.

Editor’s note:

The GLM-4.7 launch has made a significant impact in the agentic coding arena by achieving tremendous scores in agentic AI, reasoning and tool calling , outperforming Claude Sonnet 4.5 on several benchmarks. It is significantly cheaper in comparison with the GLM Coding Plan priced at just $3/month and it is available in major coding CLIs including Claude Code.

MiniMax

MiniMax Releases M2.1 Open-Source Model Purpose-Built for Agentic AI

Source: Web(Minimax.io)

The newly released M2.1 is fully open source, achieving SOTA performance across real-world coding and agent criteria. Designed for both performance and practicality, the model balances scale with efficiency. MiniMax M2.1 is an MoE designed for coding, tool use, instruction following, and long multi-step planning.

Key Points:

  1. Coding: M2.1 goes beyond Python with systematic enhancements across Rust, Java, Golang, C++, TypeScript and more, covering low level to application layer development.

  2. Web & App Dev: Mobile development has long been a weak spot across the industry. M2.1 challenges it directly with significantly stronger native Android and iOS capabilities. It also brings sharper design comprehension and better aesthetic output for web and app builds, making vibe coding actually deliverable.

  3. Tools: M2.1 generalizes well across agent frameworks Claude Code, Droid, Cline, Kilo Code, Roo Code and Backbox. It showed consistent and stable results. It also reliably handles context management mechanisms like Skill.md, Claude.md, and Slash Commands.

Editor’s note:

MiniMax has been quietly building momentum in the open-source AI space. With M2.1, they're making a clear statement, agentic AI shouldn't be locked behind closed doors. Whether this reshapes the landscape remains to be seen, but it's a release worth watching.

That's a satisfactory wrap for tonight.

Before you go, how did we do? Your feedback shapes tomorrow's edition.

See you soon

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