How to Code for Free with AI: NVIDIA NIM + Aider, Cline, Cursor Setup Guide

NVIDIA offers 46 AI models for free via API with no credit card required. Here is how to connect them to popular AI coding tools and start coding for free in under five minutes.

• AI coding assistants like Aider, Cline, and Cursor have become essential tools for developers. But they all cost money. Cursor charges $20 per month. Running Claude Sonnet through the API costs roughly $15 to $30 per month for active coding. Using GPT-5.5 costs even more.
• There is a way to use these tools for free. NVIDIA hosts 46 AI models on their NIM platform at build.nvidia.com, and many of them are genuinely good at coding. MiniMax M2.7, Qwen3 Coder 480B, and Mistral Large 3 are all available for free with no credit card required.
• The key insight is that most AI coding tools support custom API endpoints using the OpenAI-compatible format. NVIDIA NIM speaks this exact format. You change two settings — the base URL and the API key — and your coding tool connects to a free model instead of a paid one.

What You Need Before Starting

The setup takes about five minutes. You need three things.

First, a free NVIDIA developer account. Go to build.nvidia.com and sign up with your email. No credit card is required. Once registered, navigate to build.nvidia.com/settings/api-keys and generate an API key. It will start with nvapi- and be about 56 characters long. Save this key immediately — you will only see it once.

Second, you need the AI coding tool you want to use. This guide covers Aider, Cline, Continue.dev, Claude Code (via a proxy), and Cursor. Each has a different setup process, but they all connect to the same NVIDIA endpoint.

Third, you need to pick the right model. Not all 46 free models are good at coding. Based on community testing and the usage numbers on NVIDIA's platform, the best free coding models as of May 2026 are MiniMax M2.7 (230 billion parameters, 11.3 million uses), Qwen3 Coder 480B (purpose-built for coding with 256,000 token context), Mistral Nemotron (optimised for function calling and agentic workflows), and Step-3.5 Flash (200 billion parameter reasoning model).

The NVIDIA NIM base URL for all tools is: https://integrate.api.nvidia.com/v1

Setup 1: Aider — The Easiest Option

Aider is a command-line AI coding tool that supports any OpenAI-compatible endpoint out of the box. No proxy, no configuration file — just two environment variables.

Install Aider if you have not already by running: pip install aider-chat

Then start it with your NVIDIA NIM credentials. On Mac or Linux, open your terminal and run:

OPENAI_API_BASE=https://integrate.api.nvidia.com/v1 OPENAI_API_KEY=nvapi-YOUR-KEY-HERE aider --model openai/minimaxai/minimax-m2.7

Replace nvapi-YOUR-KEY-HERE with your actual API key from build.nvidia.com. You can swap the model name for any model available on the platform. For coding specifically, try openai/qwen/qwen3-coder-480b-a35b-instruct or openai/mistralai/mistral-nemotron.

To make this permanent so you do not need to type it every time, add the two export lines to your shell profile file (~/.zshrc on Mac or ~/.bashrc on Linux). Then restart your terminal.

Aider will now connect to NVIDIA NIM for all code generation, editing, and debugging — completely free.

Setup 2: Cline — VS Code Extension

Cline is a popular open-source AI coding assistant that runs inside Visual Studio Code. It has built-in support for custom OpenAI-compatible providers.

Install Cline from the VS Code Extensions marketplace by searching for Cline. Open the Cline sidebar panel by clicking its icon in the Activity Bar. Click the gear icon at the top of the panel to access provider settings.

Set the API Provider to OpenAI Compatible. Set the Base URL to https://integrate.api.nvidia.com/v1 and enter your NVIDIA API key in the API Key field. For the Model ID, enter one of the free models — for example minimaxai/minimax-m2.7 or qwen/qwen3-coder-480b-a35b-instruct.

Click Save and start a new task. Cline will now use the free NVIDIA model for code generation, file editing, and terminal commands.

One important note about Cline specifically: it relies heavily on tool calling (function calling) for its agentic features like file editing and running terminal commands. Make sure to use a model that supports tool calling well. Mistral Nemotron is the best choice for Cline because it was specifically built for function calling and agentic workflows. MiniMax M2.7 also works well. Some models have inconsistent tool calling support on NVIDIA NIM, so test before committing to a model for Cline.

Setup 3: Continue.dev — VS Code and JetBrains

Continue.dev is an open-source AI coding assistant that works with both VS Code and JetBrains IDEs like IntelliJ and PyCharm. Configuration is done through a JSON file.

Open your Continue configuration file located at ~/.continue/config.json. If the file does not exist, install Continue from the extensions marketplace first and it will create the file automatically.

Add an entry to the models array with your NVIDIA NIM endpoint. The key fields are: title set to something descriptive like NVIDIA NIM Free, provider set to openai, model set to the model identifier such as minimaxai/minimax-m2.7, apiBase set to https://integrate.api.nvidia.com/v1, and apiKey set to your nvapi key.

Save the file and restart your IDE. The NVIDIA model will appear in Continue's model selector dropdown. You can add multiple entries in the models array to have quick access to several free models — one for coding, one for chat, one for explaining code.

Continue.dev supports tab completions, inline edits, and chat conversations. All of these work through the free NVIDIA endpoint.

Setup 4: Claude Code — Via Proxy

Claude Code is Anthropic's terminal-based AI coding assistant. Unlike the other tools, Claude Code uses the Anthropic API format, not the OpenAI format. This means you cannot point it directly at NVIDIA NIM. You need a proxy server that translates between the two formats.

The most popular proxy is the free-claude-code project on GitHub. Here is how to set it up:

Install the UV Python manager by visiting docs.astral.sh/uv/getting-started/installation for the install command. Then clone the proxy repository by running: git clone https://github.com/Alishahryar1/free-claude-code.git nvidia-nim

Change into the directory with cd nvidia-nim and copy the environment file with cp .env.example .env. Edit the .env file and add your NVIDIA API key. Then start the proxy server: uv run uvicorn server:app --host 0.0.0.0 --port 8082

Keep this terminal window open. In a new terminal, run Claude Code with the proxy: ANTHROPIC_AUTH_TOKEN=freecc ANTHROPIC_BASE_URL=http://localhost:8082 claude

Claude Code will now route all requests through the proxy to NVIDIA NIM. You get the Claude Code interface and workflow powered by a free model instead of a paid Anthropic subscription. The default model in the proxy is typically set to a strong coding model. You can change it in the .env file.

Setup 5: Cursor — Partial Support

Cursor supports custom OpenAI endpoints, but the integration is more limited than the fully open-source tools.

Open Cursor and go to Settings. Click on Models in the left sidebar. Find the Override OpenAI Base URL field and enter https://integrate.api.nvidia.com/v1. In the OpenAI API Key field below, enter your NVIDIA API key. Despite the label saying OpenAI, this key is sent to whatever endpoint you configured.

Click Add Model and type the model identifier, for example minimaxai/minimax-m2.7.

Cursor's basic code generation and chat features work well with NVIDIA NIM models. However, Cursor's advanced agent features and multi-file editing may not work as reliably with non-OpenAI models. For full agent capabilities, you may still want to use Cursor's built-in models or switch to Aider or Cline for the free NVIDIA workflow.

Cursor also has its own free tier with limited usage — you might find that sufficient before setting up the NVIDIA endpoint.

Rate Limits and What to Expect

NVIDIA NIM's free tier gives you approximately 40 requests per minute. That sounds limited, but for interactive coding work it is more than enough. Most developers make 5 to 15 requests per minute during active coding sessions. 40 per minute covers even intense pair-programming-with-AI workflows.

Where you will hit limits is in automated or batch workflows. If you are running Aider in a loop processing 20 files, or if Cline is making rapid consecutive tool calls on a complex refactoring task, you may see rate limit errors (HTTP 429). The solution is to add a small delay between requests or switch to a paid provider for batch work.

Response times vary by model and time of day. During off-peak hours the experience is smooth and fast. During peak hours (US business hours, roughly 9am to 5pm Pacific), response times can spike. This is a free tier with no uptime guarantees, so set expectations accordingly.

The free tier is excellent for development, prototyping, personal projects, and learning. It is not suitable for production applications or customer-facing products. For production, consider the paid hosted options via DeepInfra, Bitdeer, or CoreWeave — or self-host using NVIDIA NIM containers on your own hardware.

The Bottom Line

NVIDIA NIM is the best free option for running AI coding tools in 2026. The rate limits are generous enough for real coding work, the model selection is strong (MiniMax M2.7, Qwen3 Coder 480B, and Mistral Nemotron are all production-grade models), and the setup takes five minutes for most tools.

The easiest path is Aider — two environment variables and you are coding for free. Cline and Continue.dev also work seamlessly with native OpenAI-compatible support. Claude Code requires a proxy but gives you the full Claude Code experience powered by a free model.

Start at build.nvidia.com/settings/api-keys to get your free API key, pick a model from the list above, and follow the setup guide for your preferred tool.

We track pricing for all NVIDIA Nemotron models alongside 300 plus other AI tools at aitoolsmentor.com/models. If you want to compare free versus paid options, our models page lets you sort by price, provider, and context window across 44 models from 10 providers.