Serious AI Coding Help
without the $20–$200 monthly bill
The free tier tools that actually deliver

GitHub Copilot launched its permanent free tier in December 2024 — 2,000 code completions per month, 50 chat messages, and access to GPT-4o and Claude 3.5 Sonnet depending on the task. The free tier is not a trial. It does not expire.

This article covers the tools worth actually installing, explains exactly what the free limits buy you in a realistic workday, and is honest about where the walls are. If you're a solo developer, a student, or someone evaluating AI assistance before committing a budget, these tools cover most of what the paid tiers do — as long as you know which tasks to aim at which tool.

GitHub Copilot Free: What 2,000 Completions Per Month Actually Gets You

Two thousand completions sounds like a lot until you spend an afternoon writing boilerplate. In practice, 2,000 completions maps to roughly 2–4 hours of active, completion-heavy coding — the kind of work where you're building new functions, writing tests, or generating repetitive data-processing code. If you write code more deliberately, reviewing suggestions rather than hammering through them, 2,000 completions can carry a full week of moderate use.

The 50 chat messages per month is the more binding constraint. Fifty is about two substantive debugging sessions or one deep architecture conversation. Once you hit that ceiling, the inline completions still work; you just lose the conversational interface. The workaround most developers land on: use Copilot Chat sparingly for complex explanations, and keep a browser tab open to ChatGPT or Gemini for the chatty stuff.

Setup is through the GitHub Copilot extension in VS Code, JetBrains IDEs, Visual Studio, or Vim/Neovim via a community plugin. The free tier activates when you log in with a GitHub account — no credit card, no trial clock. GitHub has stated the free tier is permanent, though limits could change; that caveat applies to every free plan on this list.

Where it loses: the 50-message chat cap hurts if you prefer conversational debugging. And for less common languages — Elixir, Zig, Gleam — the completion quality drops sharply compared to Python or JS.

Google Gemini Code Assist: The Unlimited Free Tier That Most Developers Miss

In February 2024, Google announced an individual free tier for Gemini Code Assist with what it described as "no daily, monthly, or yearly limits" on code completions. That is a significant claim, and as of mid-2025, it has held. The catch is that "individual" is the operative word — the unlimited plan is explicitly for solo developers and is not licensed for team use (that requires a paid Google Workspace or Cloud plan).

The practical experience is different from Copilot. Gemini Code Assist's completions are sometimes slower — there's occasionally a 200–400ms lag that Copilot's local prediction engine avoids — but the quality on long-form generation is impressive. Ask it to write a complete FastAPI endpoint with error handling and tests, and it returns something that compiles. The IDE support covers VS Code and JetBrains, with a Cloud Shell Editor option for people who live in Google Cloud.

What makes it genuinely useful for free users is the chat interface inside the IDE. Unlike Copilot's 50-message cap, Gemini Code Assist's individual plan does not impose a hard chat message limit. You can use it as a full pair-programming partner in long sessions. Google AI Studio, separately, lets you interact with Gemini 1.5 Pro and Gemini 1.5 Flash through a browser interface at no cost (with rate limits, but generous ones).

The honest limitation: Gemini Code Assist's completions are best when the surrounding context is large and explicit. It reads more of your file than Copilot does, which helps with consistency in longer files but can produce suggestions that feel over-fitted to whatever pattern it just saw. If you write a loop three times, it will want to write a fourth.

Codeium: The Underrated Free Option With No Completion Cap

Codeium deserves more attention than it gets in the mainstream conversation. The free individual plan offers unlimited AI code completions, unlimited AI chat, and support for over 70 languages and 40 IDEs — including VS Code, JetBrains, Vim, Neovim, Emacs, and even Eclipse. For developers on unusual stacks or editors, Codeium's IDE breadth is unmatched among free tools.

The model powering Codeium's completions is proprietary — the company does not publish the architecture — but independent testing by developers on communities like Hacker News and Reddit's r/MachineLearning suggests it performs somewhere between GPT-3.5 and GPT-4 for most coding tasks. That's a meaningful gap from Copilot's access to Claude 3.5 Sonnet, but for routine completions — filling out function signatures, generating standard CRUD logic, writing docstrings — the difference is smaller than you'd expect.

Where Codeium genuinely edges ahead of Copilot Free is the chat limit: there isn't one. You can have extended conversations about your codebase, ask it to explain unfamiliar libraries, or walk through a debugging session without watching a counter tick down. The context window for chat is smaller than Google AI Studio's, but for most debugging use cases it's sufficient.

One specific strength: Codeium handles legacy code unusually well. Paste a 200-line PHP 5 function and ask it to refactor for PHP 8 compatibility, and it handles the type coercions and deprecated function substitutions without hallucinating. Whether that's intentional training or a coincidence of architecture, it's been a consistent observation from users migrating old codebases.

The free plan does not include Codeium's enterprise features (team context, codebase indexing, admin controls), and the company's business model depends on those paid tiers. That's a reasonable tradeoff — the free individual experience is genuinely complete.

Cursor Free Tier and the Browser-Based Alternatives

Cursor is a full VS Code fork — not an extension, a separate editor — with AI deeply integrated into the editing experience. The free "Hobby" tier gives you 2,000 completions per month and 50 slow premium model requests (which use GPT-4 or Claude 3.5 Sonnet with no speed guarantee). Unlimited "cursor-small" requests are also included; cursor-small is a fine-tuned model that Cursor built for fast, cheap completions and it handles routine tasks well.

The value proposition of Cursor over just using Copilot in VS Code comes down to one feature: Composer. Composer lets you describe a multi-file change in natural language and Cursor drafts edits across several files simultaneously. In Copilot Free, chat changes are applied one file at a time. In Cursor's free tier, you get a limited number of Composer uses before it gates to slow mode. Whether that matters depends on how much of your work involves coordinated changes across multiple files — refactoring a module, renaming a concept throughout a project, or restructuring an API.

For browser-based coding help without installing anything, the options are:

• Google AI Studio: Free access to Gemini 1.5 Pro with a 1 million token context window. Paste an entire codebase, ask a question. No IDE integration, but for analysis and explanation tasks it's the strongest free option by context size.
• ChatGPT Free (GPT-4o): OpenAI's free tier now runs GPT-4o with daily message limits. For code generation in chat, it's excellent — arguably the most reliable at producing code that works on the first try among the free browser tools.
• Mistral Le Chat: Mistral's free interface runs Mistral Large, which is genuinely competitive on code. Less well-known, which means less traffic, which means faster response times. Worth bookmarking.
• Phind: A search engine and chat hybrid built specifically for developers. Free tier, no login required for basic use, and it cites documentation. Useful for "how do I use library X to do Y" questions where you want a sourced answer.

Which Tool to Use for Which Task: A Practical Mapping

Every tool on this list is free and capable. The question is fit, and fit depends on what kind of coding work you're doing in a given hour.

Writing new functions in Python, JavaScript, or TypeScript: GitHub Copilot Free or Gemini Code Assist. Both have strong training data on these languages. Copilot's ghost-text predictions are slightly faster; Gemini generates longer coherent blocks. Try both for a week and keep whichever feels right — editor integration quality varies by IDE.

Extended debugging sessions where you need to ask many questions: Codeium's chat (no cap) or Google AI Studio (huge context window). If the bug is in a large file, paste the whole file into AI Studio rather than trying to extract the relevant snippet. The 1M token context means you don't have to guess what's relevant.

Refactoring across multiple files: Cursor free tier. Its Composer feature, even in slow mode, is the only free tool that handles multi-file edits as a coordinated operation rather than a series of one-file patches.

Working in a less common language (Rust, Haskell, Zig, Erlang): ChatGPT free (GPT-4o) or Google AI Studio. Both have broader language coverage than Copilot Free, where thin training data in niche languages produces unreliable completions. For Rust specifically, the Rust community's documentation is high quality and appears heavily in GPT-4o's training — it handles lifetime annotation questions unusually well.

Learning a new framework: Phind or ChatGPT free. Phind links to actual documentation pages, which matters when a framework is changing fast and the model's training data might be stale. If Phind's answer and the linked docs disagree, believe the docs.

Writing tests for existing code: Gemini Code Assist chat. Paste a function, ask for pytest or jest tests with edge cases covered. Gemini's tendency to read extensive context works in its favor here — it catches more of the implicit behavior in the code than a tool reading a smaller window.

The Real Limits of Free Tiers: Where You Will Eventually Hit a Wall

Free tiers are not charities. Every company offering them is betting you'll eventually want more. That's fine — knowing where the walls are lets you plan around them rather than being surprised mid-project.

Context length: Free tiers almost universally have shorter context windows than paid plans. Copilot Free pulls a sliding window of your current file plus open tabs; it doesn't index your whole project. Codeium Free similarly has no project-level codebase indexing. If you're working on a large codebase and want the AI to understand how module A relates to module C, you're either pasting manually or upgrading. Google AI Studio is the exception — the 1M token context window is available on the free tier, though rate limits apply.

Model quality: Free tiers often route to smaller or slower models under load. Copilot Free does give you access to Claude 3.5 Sonnet for some tasks, which is genuinely impressive for a free tier, but the routing logic is not fully transparent. Under heavy server load, you may get faster but weaker responses.

Rate limits and daily resets: ChatGPT's free GPT-4o access has a daily message cap that the company doesn't publish explicitly — it varies based on server load and your usage pattern. You'll hit it at an inconvenient time. The practical fix is to have two browser tabs open: ChatGPT and Gemini as a backup. When one caps, switch.

No: Every tool on this list requires an internet connection. If you're on a flight or in a meeting with spotty connectivity, you're on your own. Local models — Ollama running Code Llama 70B or DeepSeek Coder 33B on your own hardware — solve this, but require meaningful RAM (32GB+ for the larger models) and fall behind the cloud tools in quality.

Privacy: Most free tiers use your code to improve their models unless you explicitly opt out. GitHub Copilot Free has a telemetry opt-out in settings. Codeium's privacy policy for free users allows training on inputs. If you're working with proprietary code, read the terms before pasting anything sensitive. For genuinely confidential code, a local model is the only safe free option.

Local Free Models: The Alternative Nobody Talks About Enough

Running a model locally with Ollama takes about fifteen minutes to set up and costs nothing beyond electricity. The tradeoff is quality and hardware requirements — but that gap has narrowed faster than most developers realize.

DeepSeek Coder V2 Lite (16B parameters) runs comfortably on a machine with 16GB of unified memory, such as an M2 MacBook Pro. On HumanEval — the standard benchmark for code generation — DeepSeek Coder V2 Lite scores around 80%, which puts it in the same range as early GPT-4 versions. It is not as good as GPT-4o or Claude 3.5 Sonnet. But it runs entirely on your machine,, has no usage caps, and sees none of your code on any external server.

Qwen2.5-Coder-7B is another strong option — smaller, faster, and surprisingly capable for its size. If your machine has 8GB of RAM to spare for a model, Qwen2.5-Coder-7B handles Python and JavaScript routine tasks without embarrassing itself.

The workflow: install Ollama, pull the model, and connect it to VS Code via the Continue extension. Continue is an open-source AI coding assistant that supports any Ollama-served model and gives you inline completions and chat in the same style as Copilot. It's free, it's actively maintained, and it's the missing piece that makes local models practical for everyday use rather than just a curiosity.

The honest comparison: local models at the 7B–16B scale are roughly equivalent to Copilot-quality completions from 2022–2023. That's useful. It's not where the cloud frontier is today. If you're on an air-gapped system, a confidentiality-sensitive project, or simply want to experiment, local models are the right call. If you have an internet connection and no strong privacy requirement, the cloud free tiers are better tools right now.