Claude Code VS Codex VS GLM VS Kimi: I Tested EVERY AI Coding Agent.. Here's my thoughts.

Key Concepts

AI Coding Agents: Software tools that integrate with IDEs or terminals to assist in building, refactoring, debugging, and shipping code.
Model Flexibility: The ability to use a specific AI model across various third-party coding interfaces (e.g., Cursor, Kline, Kilocode) rather than being locked into a proprietary app.
Ecosystem Integration: The value of having a coding tool bundled with broader AI services (research, writing, image generation).
Usage Limits: The constraints on how much an AI model can be used within a subscription tier before performance is throttled or access is cut off.

1. GLM Coding Plan (GLM 5.1)

Core Strength: High-performance model (GLM 5.1) that excels in both front-end and back-end tasks, with strong reasoning capabilities for complex project structures.
Key Advantage: Flexibility. Unlike competitors, it allows users to route the model through various coding agents like Kilocode, Claude Code, Cursor, and Kline.
Workflow: Users can connect via a simple CLI command, making it a "portable" model subscription.
Pricing: Ranges from $18 to $160/month. While no longer a "cheap" option, the value is derived from its ability to function across multiple development environments.

2. Claude Code

Core Strength: Known for pioneering the terminal-based coding agent workflow. It is highly regarded for its "design taste," often producing superior front-end UI compared to GPT-based models.
Key Argument: While the product remains high-quality, the "value equation" has shifted. The $20 tier is often insufficient for heavy daily users, and the higher tiers ($100–$200) are difficult to justify given the rise of more flexible alternatives.
Perspective: It is a "premium classic" option, best suited for Anthropic power users who prioritize UI aesthetics and a refined terminal workflow.

3. Codex (OpenAI Ecosystem)

Core Strength: A comprehensive platform rather than just a tool. It integrates with the broader OpenAI ecosystem (ChatGPT, cloud tasks, code review).
Performance: Strong at long-term project management, refactoring, and back-end engineering.
Weakness: Front-end output can be "visually bland" or generic, requiring specific prompting or design rules to achieve high-quality aesthetics.
Value Proposition: The $20 tier is highly competitive, and the inclusion of non-coding AI features (research, voice, image) makes it the most "complete" package for general users.

4. Kimmy (K2.6)

Core Strength: A capable challenger that is rapidly evolving.
Perspective: While strong at generating code, it currently lacks the "consistency" required for professional, everyday workflows. It is recommended as a tool to watch rather than a primary subscription for serious developers at this stage.

Comparison Summary Table

Synthesis and Conclusion

The video argues that choosing an AI coding subscription is no longer just about "raw intelligence" or benchmarks. Instead, it is about workflow integration, usage limits, and flexibility.

The author concludes that for most professional developers, the market has narrowed down to two primary recommendations:

Codex: The best choice for those who want a "complete" ecosystem where coding is part of a broader suite of AI tools.
GLM 5.1: The best choice for those who prioritize flexibility and want to use a high-performing model across multiple coding agents (e.g., Cursor, Kilocode).

Notable Quote: "It is not just which one is the smartest. It is which one gives me enough usage to actually work... which one is flexible enough to use in the tools I already like."