How to Choose an AI Coding Plan? Comparing Cursor, ChatGPT, GLM, and Other Top Options

With so many AI coding tools and subscription plans on the market, many developers don't know where to start. Cursor, ChatGPT, GLM, MiniMax… pricing varies wildly across products, and coding capabilities are all over the map. Based on hands-on experience, this article breaks down the decision-making framework for choosing among today's leading AI coding plans, helping you find the best fit for your needs.

Core Principle: Prioritize Coding Plans

When choosing an AI coding subscription, there's one fundamental principle: if a Coding Plan is available, choose it.

The reason is simple — API calls for most models are extremely expensive. If you're a heavy user, pay-per-use API pricing can quickly spiral out of control. Coding Plans typically offer higher usage quotas at a fixed monthly fee, delivering far better value than direct API calls.

The Essential Difference Between Coding Plans and Pay-Per-Use APIs

A Coding Plan is essentially a "monthly compute subscription" model. AI model APIs typically charge by Token — the basic unit of text processing, where roughly 750 English words or 500 Chinese characters correspond to 1,000 Tokens. For coding tasks, a single complete code generation request often involves massive context input and lengthy code output, potentially consuming tens of thousands of Tokens per request. Take GPT-4o as an example: API pricing is approximately $5 per million input Tokens and $15 per million output Tokens. Under heavy use, monthly bills can easily exceed several hundred dollars. Coding Plans convert unpredictable variable costs into predictable fixed costs through a flat monthly fee with higher or unlimited quotas. For developers averaging more than 10 code generation requests per day, the plan typically pays for itself within the first week.

This principle applies across virtually all platforms — whether it's Cursor or ChatGPT overseas, or Zhipu GLM and MiniMax domestically. Coding Plans are always the more economical choice.

International Options: Cursor and ChatGPT Pro

Cursor Max: The Top Choice for Peak Coding Performance

If you're after maximum coding performance, especially as a power user of Cursor, the Cursor Max plan is the undisputed first choice.

Cursor is an AI-native IDE built on a deeply modified version of VS Code. Its core competitive advantage lies in the deep integration of code completion, multi-file editing, Codebase Indexing, and other features with model inference. Cursor has performed extensive optimization on its native models — these models undergo specialized instruction fine-tuning to fully understand Cursor's proprietary context formats (such as @file, @symbol reference syntax), unlocking advanced features like Shadow Workspace background code validation and Composer multi-file collaborative editing. This is why performance differs noticeably between Cursor's native models and third-party models (like DeepSeek V4 Pro) — the deep binding between tool and model is the core logic behind Cursor Max's premium pricing.

However, Cursor Max has two notable barriers:

• High price: At $200/month, it's a significant expense for individual developers
• Strict risk controls: Cursor currently requires identity verification and has certain risk control restrictions

You'll need to weigh your usage frequency and budget carefully before committing.

ChatGPT Pro: The Ideal Choice for Codex Users

If you primarily use OpenAI's Codex features, the ChatGPT Pro plan is more worth recommending. While equally expensive, ChatGPT's risk controls are much more lenient than Cursor's, offering a more stable and smooth experience.

Technical Background on OpenAI Codex

Codex is OpenAI's model series specifically trained for code generation scenarios, with a history dating back to 2021 when it served as the underlying engine for GitHub Copilot. The Codex relaunched by OpenAI in 2025 is a Coding Agent with terminal execution capabilities, able to autonomously run code, debug errors, and install dependencies in a sandbox environment, automating the entire workflow from requirement description to runnable code. This is fundamentally different from traditional "code completion" — it's closer to a "digital programmer" that can independently complete programming tasks. The ChatGPT Pro plan provides priority access to Codex, offering significant value for developers handling complex engineering tasks.

For users who don't want to deal with risk control issues but still need powerful coding capabilities, ChatGPT Pro is a hassle-free choice.

Domestic (China) Options: GLM Leads, Multiple Platforms Available

Zhipu GLM Coding Plan: The Ceiling of Domestic AI Coding Capability

In the Chinese market, Zhipu GLM's Coding Plan is the top recommendation.

GLM 5.1's coding capability is a tier above everything else in the domestic model landscape. Zhipu AI's GLM (General Language Model) series originated from academic research at Tsinghua University's Department of Computer Science, using a proprietary GLM pre-training architecture. GLM 5.1's breakthrough in coding capability stems from three factors: large-scale pre-training on high-quality code corpora (covering GitHub, Stack Overflow, and other major platforms), specialized reinforcement learning from human feedback (RLHF) for Chinese coding scenarios, and support for 128K long context windows — which is crucial for programming tasks that require cross-file understanding of large project structures. On international coding benchmarks like BigCodeBench and LiveCodeBench, GLM 5.1's performance approaches GPT-4o levels, with clear advantages in code generation accuracy, context comprehension, and complex logic handling.

However, GLM Coding Plan has two practical issues:

• Limited availability: The Coding Plan frequently requires rushing to purchase and may not always be available
• Throttling during peak hours: Token output speed noticeably slows during busy periods, impacting development efficiency

MiniMax and Other Alternatives

If you don't need peak coding performance, Coding Plans from platforms like MiniMax are also worth considering. They're more affordable and generally sufficient for lightweight daily coding tasks.

But frankly, MiniMax's coding capability still has a noticeable gap compared to GLM. If your projects demand high code quality, it's better to prioritize securing a GLM Coding Plan.

OpenCode Plan: Multi-Model Aggregation

For developers using OpenCode, there's another option worth noting — OpenCode's Code plan. The advantage of this plan is that it aggregates multiple models, including GLM 5, Kimi 2.5, MiniMax 2.5, and others, allowing you to flexibly switch models based on different tasks, balancing performance and cost.

On a Budget? DeepSeek API Pay-Per-Use Is a Great Option

If you'd rather not subscribe to any plan and prefer pay-as-you-go API usage, the DeepSeek V4 series currently offers the best value for money.

DeepSeek's Pricing Strategy and Technical Background

DeepSeek was founded in 2023 by High-Flyer, a quantitative hedge fund. Through innovations in model training efficiency (such as MoE Mixture-of-Experts architecture, Multi-head Latent Attention, and other techniques), it achieved top-tier performance at far lower training costs than comparable models, passing these cost advantages directly to API pricing — at roughly 1/30 to 1/50 the price of GPT-4o, creating a dimensional advantage in cost-effectiveness. DeepSeek Flash (lightweight version) uses knowledge distillation to maintain high code generation quality while compressing inference costs to extremely low levels; DeepSeek Pro (full version) retains complete Chain-of-Thought reasoning capabilities, suitable for complex coding scenarios requiring deep reasoning.

The strategy is straightforward:

• Simple tasks: Use DeepSeek Flash — ideal for high-frequency, low-complexity tasks like code completion and comment generation, at surprisingly low prices
• Complex tasks: Use DeepSeek Pro — suitable for algorithm design, architecture optimization, and other scenarios requiring deep reasoning, delivering stronger reasoning capabilities while maintaining reasonable costs

DeepSeek's pricing strategy is extremely competitive in the industry. For budget-conscious individual developers and small teams, it's a very pragmatic choice.

Summary: Choose Based on Needs, Spend Within Your Means

Use Case	Recommended Plan	Monthly Cost	Core Advantage
Peak performance	Cursor Max	$200	Strongest performance, exclusive features
Heavy Codex user	ChatGPT Pro	$200	Lenient risk controls, stable experience
Best domestic option	GLM Coding Plan	Varies by plan	Strongest domestic coding capability
Flexible multi-model switching	OpenCode Code Plan	Varies by plan	Rich model selection, high flexibility
Budget-limited	DeepSeek V4 API	Pay-per-use	Ultimate cost-effectiveness

There's no one-size-fits-all answer for AI coding tools — the key is matching your actual needs and budget. High-frequency professional users should go straight for a Coding Plan to lock in costs, while occasional light users can start with the DeepSeek API to test the waters at low cost before deciding whether to upgrade.