What You Need to Know
This year’s lineup includes Qwen Code, which is free with 2,000 requests per day and no credit card needed. Meanwhile, Z.ai‘s annual plan starts at just $12.60 per month, saving 30 percent. For those who need image and video generation, Wan.ai‘s annual plan cuts the price by 50 percent, down to $5 per month. In addition, Claude’s annual plan saves 17 percent. However, note that GitHub Copilot has no annual discount.
Table of Contents
Introduction
There is an AI coding assistant that is free with 2,000 requests per day. There is also one that costs just $12 per month, yet performs almost on par with tools priced at $20. However, this year the options are more numerous and more affordable than ever.
The problem is, most people are still using the same tools they did two years ago. Meanwhile, the landscape has changed completely.
For that reason, here are 10 of the best AI coding tools this year. I have ranked them from the most established to the most underrated. In addition, each tool is covered with its strengths and weaknesses, so you can pick what fits your needs.
1. GitHub Copilot Remains the King, But Things Have Changed
First of all, GitHub Copilot remains the most popular coding assistant. Its integration is clean across VS Code, JetBrains, and Neovim. Its code completion has become the industry standard.
However, starting in June this year, the system shifted to usage-based billing. The Pro plan now gives you $15 worth of usage, base $10 plus flex $5. This means if you frequently use agent mode or premium models, credits can run out faster.
Key Features: Unlimited code completion, chat and agent mode, premium model access, integration with VS Code, JetBrains, and Neovim.
Pros: Most mature ecosystem, best integration across many IDEs, most accurate code completion, and a free tier is available.
Cons: No annual discount, the new billing system drains credits faster, and premium models require extra cost.
Link and Check Subscription Plans: github.com/copilot
2. Cursor Is the AI Editor That Makes VS Code Feel Outdated
Meanwhile, Cursor is not just a plugin. It is a fork of VS Code built from the ground up for AI. Its Composer mode and Agent mode can write code autonomously, fix bugs, and build entire features from a text description.
Key Features: Composer mode, Agent mode, access from web and mobile, Slack integration, and live server preview inside the app.
Pros: Most mature AI-first workflow, very powerful agent mode, accessible from web and mobile, and a 20 percent annual discount.
Cons: Monthly pricing is higher than Copilot, requires a fairly powerful machine, and sometimes conflicts with other VS Code extensions.
Link and Check Subscription Plans: cursor.com
3. Z.ai Emerges as the New Challenger with Aggressive Pricing
On the other hand, Z.ai offers ZCode, a desktop coding agent that competes directly with Cursor. What sets it apart is the price.
The GLM Coding Plan Lite starts at $12.60 per month with a 30 percent annual discount, giving you 10,000 credits per week. The Pro plan is $56 per month, and Max is $117.60 per month. It supports over 20 agent tools, including Claude Code and popular IDEs.
There is also a free Flash model for light usage. If your budget is tight but you need performance, this is a strong option.
Key Features: ZCode desktop agent, GLM-5.3 with up to 1 million token context, free Flash model, BYOK support, and remote integration via WeChat, Feishu, and Telegram.
Pros: Most aggressive pricing in its class, 30 percent annual discount, free Flash model, and BYOK support for other models.
Cons: Still relatively new, English documentation is limited, and servers can be slow from some regions.
Link and Check Subscription Plans: z.ai
4. Qwen Offers 2,000 Free Requests per Day
Interestingly, Qwen from Alibaba offers one of the most generous free tiers in its class. Qwen Code can be used for free with 2,000 requests per day via OAuth. No credit card required.
The Qwen3.7 Max model is also competitive on global programming benchmarks. For API access, Qwen provides the Qwen3-Coder model at competitive prices.
If you are just starting with AI coding and do not want to pay a cent, start here.
Key Features: Qwen Code free with 2,000 requests per day, Qwen3.7 Max model, Qwen3-Coder for agentic coding, up to 1 million token context, and support for various agent frameworks.
Pros: Most generous free tier, no credit card needed, competitive on global benchmarks, and up to 1 million token context.
Cons: English documentation is limited, community support is smaller than Copilot’s, and servers can be slow in some regions.
Link and Check Subscription Plans: qwen.ai
5. Wan.ai Provides Image and Video Generation for Developers
In contrast, Wan.ai is not a traditional coding assistant. It is an image and video generation tool from Alibaba, but it offers a CLI and MCP Server that can be integrated directly into a coding agent workflow.
If you are building an application that needs visual assets programmatically, Wan.ai provides a clean integration path.
Key Features: Wan CLI terminal integration, MCP Server for agents like Claude Code, Cursor, and VS Code, 18 model variants, and structured JSON output for scripting.
Pros: CLI and MCP Server integration, 50 percent annual discount, 18 model variants, and ideal for creative applications.
Cons: Not a traditional coding assistant, more niche, and requires API understanding for maximum use.
Link and Check Subscription Plans: wan.ai
6. Claude Delivers the Deepest Reasoning
What is more, Claude from Anthropic excels at coding tasks that require deep reasoning. Claude Code can run directly in the terminal, preview the running server, and review code changes without leaving the application.
Key Features: Long document analysis, Claude Code on desktop, server preview, and code review.
Pros: Deepest reasoning in its class, cleanest code output, 17 percent annual discount, and ideal for complex problems.
Cons: Monthly pricing is higher, no free tier as generous as Qwen’s, and access is sometimes restricted by region.
Link and Check Subscription Plans: claude.ai
7. Tabnine Prioritizes Code Privacy Above All
Still, Tabnine is a coding assistant that prioritizes privacy. It does not store or send your code to the cloud. This makes it ideal for organizations with strict regulations.
Key Features: Code privacy, not sent to the cloud, and suitable for organizations with strict regulations.
Pros: Best privacy in its class, 34 percent annual discount, and ideal for companies with strict regulations.
Cons: More limited features than competitors, monthly pricing is fairly high, and the free tier is very limited.
Link and Check Subscription Plans: tabnine.com
8. ChatGPT Is Not a Coding Tool, But It Is Useful
Additionally, ChatGPT is not a dedicated coding tool. However, its ability to write and explain code is strong enough. It is ideal for developers who need a discussion partner on architecture, debugging, or learning a new programming language.
Key Features: Deep Research, code analysis, error explanation, and programming language learning.
Pros: Versatile, strong reasoning, great for architecture discussions, and free access available.
Cons: Not a dedicated coding tool, no direct IDE integration, and no free tier for agent mode.
Link and Check Subscription Plans: chatgpt.com
9. Gemini Supports 1 Million Token Context
Furthermore, Gemini has competitive coding capabilities, plus integration with Google Workspace and Android Studio. Its context reaches 1 million tokens, which is useful for reading large codebases at once.
Key Features: 1 million token context, Android Studio integration, and large codebase analysis.
Pros: Largest 1 million token context in its class, Android Studio integration, and competitive API pricing.
Cons: Not yet as strong as Copilot for daily coding, the interface is less developer-friendly, and Ultra pricing is quite high.
Link and Check Subscription Plans: gemini.google.com
10. DeepSeek Is Open Source and Free
Finally, DeepSeek is an open-source model that surprised the industry with performance approaching proprietary models. It is ideal for developers who need a free assistant for daily coding.
Key Features: Open-source model, free, and performance approaching proprietary models.
Pros: Completely free, open-source, performance approaching proprietary models, and can be self-hosted.
Cons: Limited documentation, smaller community support, and servers can be slow in some regions.
Link and Check Subscription Plans: deepseek.com
Conclusion
For developers this year, the choice of AI coding assistants is very diverse. GitHub Copilot and Cursor are the top picks for those who want an AI-first workflow. Meanwhile, Z.ai emerges as a serious challenger with aggressive pricing. In addition, Qwen offers Qwen Code, which is genuinely free with 2,000 requests per day, one of the best free tiers in its class. Wan.ai covers the needs of developers building applications with image and video generation via CLI or MCP Server.
Each has its strengths and weaknesses. No single tool is perfect for every need. What matters most is choosing according to your workflow, starting with the free tier, and upgrading only when you truly hit the limit.
Which one will you try first? Let me know in the comments.
