CodeWithLLM-Updates
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New Models

Gemini 3 Flash
https://blog.google/products/gemini/gemini-3-flash/
Google is gradually rolling out its junior multimodal agentic model of the new series—benchmarks suggest it is closer to Gemini 3 Pro than Gemini 2.5 Flash. The model outperforms Gemini 2.5 Pro in many tests while being three times faster and significantly cheaper. In some benchmarks, it even surpasses flagship models from other companies.

Since its release, Gemini 3 Flash has become the default model in the Gemini mobile app (replacing 2.5 Flash) and in Google Search's AI Mode. In my Gemini CLI, neither 3 Flash nor 3 Pro has appeared yet—they can be accessed via Google AI Studio.

GLM-4.7
https://z.ai/blog/glm-4.7
Zhipu AI has updated its GLM model. Version 4.7 shows significant progress over GLM-4.6 in multilingual code generation scenarios. It supports "thinking before acting" in frameworks like Claude Code, Kilo Code, Cline, and Roo Code, ensuring stability in complex tasks. Interface generation quality has also been improved.

Model weights (MoE architecture, up to 200K token context) are publicly available on Hugging Face and ModelScope for local deployment. Access is available via Z.ai API, OpenRouter, the z.ai chat interface, and a special GLM Coding Plan ($3 for the first month, then $6).

MiniMax M2.1
https://www.minimax.io/news/minimax-m21
Release of the improved MiniMax M2 model by the Chinese company MiniMax, focused on practical development and agentic systems. It is reported that the model is significantly enhanced for working with non-Python programming languages (Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript, etc.), outperforming Claude Sonnet 4.5 and approaching Claude Opus 4.5 in multilingual scenarios.

The model is open-source. API costs are quite low, about 10% of Claude Sonnet. It is compatible with popular agents like Claude Code, Droid (Factory AI), Cline, Kilo Code, Roo Code, and BlackBox, and supports context mechanisms (Skill.md, agent.md, etc.).

They also have a web platform at https://agent.minimax.io/ where you can test how the model builds applications.

https://www.youtube.com/watch?v=kEPLuEjVr_4

SWE-bench Verified comparison: Gemini 3 Flash 78%, MiniMax M2.1 74%, GLM-4.7 73.8%.