What Free AI Models Are Available in OpenCode and Which One Should You Use

Apr 21, 2026

AI coding assistant Photo by Nubelson Fernandes on Unsplash

I wanted AI coding assistance but didn’t want to pay for subscriptions like ChatGPT Plus or GitHub Copilot without testing first. OpenCode Zen provides multiple free model options, and I’ve tested them all to help you choose the right one.

Free Models in OpenCode Zen

OpenCode Zen offers five free AI models with different capabilities and privacy considerations. Here’s how they compare:

Model	Rating	Status	Privacy	Best For
GPT 5 Nano	5/5	Permanently free	Data NOT used for training	Lightweight tasks, privacy-first users
Big Pickle	4/5	Limited-time free	Data may be used	Complex programming, code review
Qwen3.6 Plus Free	4/5	Limited-time free	Data may be used	Complex tasks, non-sensitive projects
Nemotron 3 Super Free	3/5	Limited-time free	Data may be used	Code generation, daily coding
MiniMax M2.5 Free	3/5	Limited-time free	Data may be used	Learning, exploration

How to Enable Free Models

Enable free models through these commands:

# Step 1: Connect to OpenCode Zen
/connect
# Select "OpenCode Zen" from the options

# Step 2: Choose a free model
/models
# Select one of the free models listed

The process is straightforward. After connecting to OpenCode Zen, you can switch between free models anytime using the /models command.

Choosing the Right Model

I use different models depending on the task:

# Daily lightweight tasks → GPT 5 Nano (default)
# Fast response, permanently free, privacy-safe

# Complex refactoring or architecture → Big Pickle
# Stronger performance, but avoid sensitive code

# Production environment or sensitive code → Paid models
# Claude Sonnet 4.5, GPT 5.4 for stability and privacy

# Maximum privacy → Local models via Ollama
# Complete control over your data

For Privacy-Conscious Developers

GPT 5 Nano is my default choice for any sensitive work. It’s the only free model that guarantees your data is never stored or used for training. This makes it safe for proprietary or confidential projects.

I use GPT 5 Nano for:

Code completion
Simple refactoring
Quick explanations
Any work involving proprietary code

For Complex Tasks on Non-Sensitive Projects

Big Pickle and Qwen3.6 Plus Free offer near-paid-model performance. They handle complex programming tasks well, including architecture decisions and code reviews.

Be aware: these models may use your conversation data to improve the model during their promotional period. I avoid them for:

Proprietary algorithms
Security-sensitive code
Projects with strict data policies

For Production Environments

For production work, I consider paid models. Claude Sonnet 4.5 and GPT 5.4 provide:

Guaranteed stability
Clear privacy policies
No promotional limitations

Free models may have rate limits or availability issues that could disrupt your workflow during critical work.

Common Mistakes to Avoid

I’ve made these mistakes so you don’t have to:

Using limited-time free models for sensitive code - Always check data policies before pasting proprietary code into Big Pickle or Qwen3.6 Plus Free.
Choosing a weak model for complex tasks - GPT 5 Nano is fast but not ideal for architecture decisions. Use Big Pickle for complex refactoring.
Ignoring availability issues - Free models may disappear or become paid. For critical workflows, have a backup plan.

My Recommendation

Use GPT 5 Nano as your default free model. It’s permanently free, privacy-safe, and fast enough for most daily tasks. Switch to Big Pickle or Qwen3.6 Plus Free for complex tasks on non-sensitive code. For production work or maximum privacy, consider paid models or local deployment via Ollama.

Summary

In this post, I showed you the free AI models available in OpenCode Zen, how to enable them, and which one to choose based on your privacy needs and task complexity. Start with GPT 5 Nano for privacy-safe coding assistance, then experiment with other models for specific use cases.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!