Zubayer Patowari | AI & ML Engineer

# How I Used 418 Million AI Tokens for Just $0.64 — And How You Can Use Powerful Coding Models Almost Free

AI coding is getting ridiculously expensive.

If you use coding agents every day—building features, debugging, refactoring, generating tests, reviewing repositories, or experimenting with agentic workflows—you can burn through millions of tokens surprisingly quickly.

But over the last month, I discovered something that genuinely surprised me.

I Used 418 Million Tokens. Guess How Much It Cost.

From August 5 to August 31, my total usage on DeepSeek V4 Flash 0731 was around:

418,000,000 tokens.

Now guess how much that usage cost me.

$10?

$20?

$50?

No.

My reported usage cost was just:

$0.64 🤯

And I wasn't running some tiny local model.

I was using DeepSeek through Command Code, an agentic coding CLI that I had been using heavily for development.

The interesting part is the plan I was using.

The $1 Command Code Go Plan

Command Code currently has a Go Plan that costs $1/month and provides $10 in monthly credits for supported models.

Yes:

Pay $1 → receive $10 of monthly model credits.

For my particular usage pattern, caching, models, and pricing at the time, the Command Code dashboard reported only about $0.64 of usage for those approximately 418 million tokens.

Based on the way I was using it, I estimated I could probably process another 200–250 million tokens in that cycle.

That means my real-world experience was roughly in the neighborhood of:

$1 subscription → ~700–800 million tokens of practical coding-agent usage

That's not a guaranteed token conversion rate. Token costs depend on the model, cache usage, promotions, input/output ratio, and current pricing.

But as someone who uses AI heavily for development, the value surprised me.

And then things became even more interesting.

---

# LongCat 2.0 Is Currently Free on Command Code

Command Code is currently offering Meituan LongCat 2.0 at:

* Input: $0

* Output: $0

* Cache reads: $0

The offer is described as free while it lasts.

LongCat 2.0 isn't a tiny model either.

Meituan says LongCat 2.0 is a Mixture-of-Experts model with:

1.6 trillion total parameters

with roughly 48 billion parameters activated on average, plus native support for around a 1-million-token context window. It was designed specifically around long-horizon agentic coding tasks.

So right now you can essentially run a 1.6T-parameter coding-oriented model through a full coding-agent harness without paying per token.

There is one important catch:

> Command Code currently requires your account to have at least $1 of credits available before you can start a free LongCat session.

LongCat requests themselves consume zero credits, but the account still has to meet that minimum-credit requirement.

I learned this one myself after getting:

You have insufficient credits to make this request.

So don't be confused if you see that message.

---

# And Then There's OpenCode + Meta Muse Spark 1.3

There's another option worth trying.

OpenCode is an open-source AI coding agent that works from your terminal, IDE, or desktop environment.

Through OpenCode Zen, they're currently offering:

Muse Spark 1.3 Contributor Free

at:

Input:       FREE
Output:      FREE
Cached read: FREE

for a limited promotional period.

Muse Spark 1.3 was released by Meta on September 2, 2026, with improvements focused heavily on coding, agentic workflows, longer-running tasks, and more efficient tool usage.

So now let's actually install these things.

---

# Complete Beginner Setup Guide

I'll show you how to install everything on:

Windows
macOS

Linux

and how to use them directly inside VS Code.

You do not need to be a terminal expert.

---

# Part 1 — Install VS Code

If you already have VS Code, skip this section.

Install Visual Studio Code and create or open a coding project.

Inside VS Code, open the integrated terminal using:

Ctrl +



or go to:

Terminal → New Terminal


We'll run almost everything from here.

---

# Part 2 — Install Node.js 22+

Command Code currently requires Node.js 22 or newer.

Check what you already have:

node -v
npm -v


You want something like:

v22.x.x


or newer.

---

Windows

You can install the current Node.js LTS release with:

winget install OpenJS.NodeJS.LTS


After installation, completely restart VS Code.

Then verify:

node -v
npm -v


---

macOS

If you use Homebrew:

brew install node


Then:

node -v
npm -v


---

Linux — Ubuntu/Debian

One option is NodeSource:

curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -


Then:

sudo apt-get install -y nodejs


Verify:

node -v
npm -v


Command Code also documents nvm, fnm, Homebrew, Volta, and other Node installation methods.

---

# Part 3 — Install Command Code

Once Node works, installing Command Code is basically identical everywhere.

Run:

npm install -g command-code@latest


Now there is one difference between Windows and macOS/Linux.

Native Windows

Use:

cmdc --version


macOS / Linux / WSL

Use:

cmd --version


Why?

Because Windows already has a system program called cmd, so Command Code uses the alias cmdc on native Windows.

On macOS, Linux, and WSL, the normal alias is cmd.



---

# Part 4 — Login to Command Code

Windows

cmdc login


macOS/Linux

cmd login


Your browser should open.

Log into Command Code and authorize your terminal.

You're now connected.

---

# Part 5 — Activate the Go Plan

Go to:

Command Code → Studio → Billing

The Go plan currently costs:

$1/month


and includes:

$10 monthly credits


for supported models.

Remember that the current LongCat free offer also requires your account to have at least $1 in available credits before starting a session.

---

# Part 6 — Open Your Project in VS Code

For example, suppose your project is:

Windows

cd D:\Projects\my-app


macOS/Linux

cd ~/Projects/my-app


Then:

code .


VS Code opens the project.

Now open:

Terminal → New Terminal


This is where the magic happens.

---

# Part 7 — Start LongCat 2.0 for Free

This is the most important command.

Windows

cmdc --model meituan/LongCat-2.0:free


macOS/Linux

cmd --model meituan/LongCat-2.0:free


Command Code currently lists this model ID officially as:

meituan/LongCat-2.0:free


When Command Code starts, check the model displayed at the top.

You want:

LongCat 2.0


Not:

DeepSeek
Claude
GPT
Gemini


because those may be paid models.

---

# A Mistake I Made That You Should Avoid

At one point I launched Command Code and saw:

models: deepseek-v4-flash-(latest)


Then I typed:

hi


and immediately got:

You have insufficient credits to make this request.


The problem wasn't Command Code.

I simply wasn't using LongCat.

If that happens, quit using:

Ctrl + C


and launch explicitly with:

Windows

cmdc --model meituan/LongCat-2.0:free


macOS/Linux

cmd --model meituan/LongCat-2.0:free


Problem solved—assuming your account meets the current minimum-credit requirement.

---

# Part 8 — Connect Command Code Properly With VS Code

Command Code supports VS Code's integrated terminal.

Once Command Code is running inside VS Code, run:

/terminal-setup


You only need to do this once.

You can also inspect or switch models using:

/model


And check usage with:

/usage


Now you can ask things like:

Analyze this entire repository and explain the architecture.


Or:

Find the bug in the authentication flow. Don't modify anything yet.


Or:

Implement JWT authentication and add tests.


Or:

Review this backend for security vulnerabilities.


Or:

Refactor this module without changing its public API.


This is where CLI coding agents become dramatically more useful than simply copying code into a normal chatbot.

They can inspect your repository, modify files, run commands, run tests, and work across multiple files.

---

# Part 9 — Install OpenCode

Now let's install our second coding agent.

Because we already installed Node.js, this is easy.

Windows/macOS/Linux

Run:

npm install -g opencode-ai


Then:

opencode --version


OpenCode also supports Homebrew on macOS/Linux, Chocolatey and Scoop on Windows, standalone installers, and other installation methods. OpenCode currently recommends WSL for the best Windows terminal experience, although native Windows npm installation is supported.

---

# Part 10 — Start OpenCode Inside VS Code

Open your project:

cd /path/to/your-project


Then:

opencode


The OpenCode interface should appear directly inside your VS Code terminal.

---

# Part 11 — Connect OpenCode Zen

Inside OpenCode type:

/connect


Select:

OpenCode Zen


OpenCode will direct you to authenticate.

The current Zen setup process is:

Sign into OpenCode Zen.
Add billing details.
Create/copy your API key.
Return to OpenCode.
Paste the key.

Run /models.

Then type:



/models


Look for:

Muse Spark 1.3 Contributor Free


Its current model ID is:

muse-spark-1.3-contributor-free


and inside OpenCode's provider/model format that becomes:

opencode/muse-spark-1.3-contributor-free


Select it.

You're ready.

---

# Start Muse Spark Directly Next Time

Once everything has been authenticated, you don't need to go through the model selection process every time.

Simply run:

opencode -m opencode/muse-spark-1.3-contributor-free

OpenCode officially supports -m / --model` using the:

provider/model

format.

So your daily workflow can literally be:

cd my-project

then:

opencode -m opencode/muse-spark-1.3-contributor-free

Done.

---

# If Muse Doesn't Appear

Refresh OpenCode's model registry:

opencode models --refresh

Then:

opencode models opencode

Search for:

muse-spark-1.3-contributor-free

---

# ⚠️ VERY Important Privacy Warning About Muse Contributor Free

This is probably the most important section of this article.

The regular Muse Spark model and the Contributor Free version are not identical from a data-policy perspective.

OpenCode currently states that using:

Muse Spark 1.3 Contributor Free

gives permission for your prompts and completions to be used to train future Meta models.

That's part of the tradeoff for getting access for free.

Therefore, I would not use the Contributor Free model for repositories containing:

.env files
production secrets
private API keys
customer data
passwords
proprietary algorithms
confidential company source code
private client repositories
sensitive database information

Use it for learning, experiments, open-source work, prototypes, personal projects, or code you're comfortable submitting under those terms.

For confidential work, choose a model/provider with data policies appropriate for your organization.

---

# Also Check OpenCode Auto-Reload

OpenCode Zen currently supports automatic balance reloads.

Its documentation says that if your balance falls below $5, Zen can automatically reload $20, and this behavior can be disabled or changed.

If your goal is specifically to experiment only with free models:

Open Zen Billing → check Auto Reload → disable it if you don't want automatic paid top-ups.

Also consider setting a monthly usage limit.

---

# My Recommended Setup Right Now

If you're new, I would install both.

Option 1 — Command Code + LongCat

Use:

cmd --model meituan/LongCat-2.0:free

or on native Windows:

cmdc --model meituan/LongCat-2.0:free

Good for:

* exploring large repositories

* implementing features

* debugging

* refactoring

* agentic coding

* long-context projects

* experimenting without per-token LongCat charges

LongCat 2.0 has around 1.6T total parameters, approximately 48B average active parameters, and native ~1M-token context according to Meituan.

Option 2 — OpenCode + Muse Spark 1.3

Use:

opencode -m opencode/muse-spark-1.3-contributor-free

Good for:

* coding

* repository-level work

* agentic workflows

* tool use

* experimenting with Meta's latest Muse generation

Just remember the Contributor privacy tradeoff.

---

# Windows Cheat Sheet

winget install OpenJS.NodeJS.LTS

Restart VS Code.

node -v
npm -v

Install Command Code:

npm i -g command-code@latest

cmdc login

Start free LongCat:

cmdc --model meituan/LongCat-2.0:free

Install OpenCode:

npm install -g opencode-ai

Start OpenCode:

opencode

Connect Zen:

/connect

Then select Muse:

/models

Or directly:

opencode -m opencode/muse-spark-1.3-contributor-free

---

# macOS Cheat Sheet

Install Node:

brew install node

Command Code:

npm i -g command-code@latest
cmd login
cmd --model meituan/LongCat-2.0:free

OpenCode:

npm install -g opencode-ai
opencode

Then:

/connect

and finally:

opencode -m opencode/muse-spark-1.3-contributor-free

---

# Linux Cheat Sheet

After installing Node 22+:

npm i -g command-code@latest

Then:

cmd login

Start LongCat:

cmd --model meituan/LongCat-2.0:free

Install OpenCode:

npm install -g opencode-ai

Then:

opencode

Connect Zen with:

/connect

and run Muse with:

opencode -m opencode/muse-spark-1.3-contributor-free

---

# Final Thoughts

A few years ago, running hundreds of millions of LLM tokens would have sounded insane for an individual developer.

Now my own August usage looked like this:

~418 million tokens

with my dashboard reporting:

~$0.64 of usage.

At the same time, we're seeing models like LongCat 2.0 offered at zero token cost through Command Code promotions and Muse Spark 1.3 Contributor offered free through OpenCode Zen.

That changes what individual developers can experiment with.

Instead of worrying about every request, you can let an agent explore a repository, attempt implementations, write tests, analyze logs, refactor large sections, and iterate.

Just remember three things:

Free promotions can end. Pricing can change. Data policies matter.

As of September 5, 2026, LongCat 2.0 is still listed by Command Code as free while the offer lasts, and Muse Spark 1.3 Contributor Free is still listed by OpenCode as free for a limited time.

If you're an AI-heavy developer, I'd experiment with them while they're available.

Because right now, the amount of AI coding capability you can access for almost nothing is kind of ridiculous. 🤯