---
title: "OpenCode + Free Providers: Agentic Coding Without the $100/Month Bill"
published: true
description: "Set up OpenCode with OpenRouter, Pollinations, and Copilot for a working agentic coding environment at $0-15/month."
tags: devops, architecture, cloud, api
canonical_url: https://blog.mvpfactory.co/opencode-free-agentic-coding-setup
---
## What We're Building
By the end of this tutorial, you'll have a terminal-based agentic coding assistant — one that reads your codebase, edits files, and executes commands — running against free or near-free LLM providers. No $100/month subscription required.
We'll wire up [OpenCode](https://github.com/opencode-ai/opencode), an open-source alternative to Claude Code, with three provider options: Pollinations (zero cost, zero auth), OpenRouter (free tier + cheap pay-per-token), and your existing GitHub Copilot subscription.
## Prerequisites
- A terminal (macOS, Linux, or WSL)
- An OpenRouter account (free) if you want the best free-tier experience
- Optionally, a GitHub Copilot subscription ($10-19/month) you're already paying for
## Step 1: Install OpenCode
Review the install script before piping to shell — always.
bash
curl -fsSL https://opencode.ai/install | less
curl -fsSL https://opencode.ai/install | bash
Or grab a binary from the [GitHub releases page](https://github.com/opencode-ai/opencode/releases) and drop it in your PATH. Either approach gets you a single binary that runs in your terminal.
## Step 2: Configure a Provider
Here's the minimal setup to get this working. Create a `.opencode.json` in your project root. Pick one of these three configurations.
**Option A — Pollinations (free, no key needed):**
json
{
"provider": {
"name": "pollinations",
"baseURL": "https://text.pollinations.ai/openai",
"apiKey": "any"
},
"model": "openai"
}
**Option B — OpenRouter (free tier or pay-per-token):**
json
{
"provider": {
"name": "openrouter",
"baseURL": "https://openrouter.ai/api/v1",
"apiKey": "sk-or-your-key-here"
},
"model": "deepseek/deepseek-chat-v3-0324"
}
**Option C — Environment variables (my preferred approach):**
bash
export OPENCODE_PROVIDER=openrouter
export OPENCODE_API_KEY=sk-or-your-key
export OPENCODE_MODEL=deepseek/deepseek-chat-v3-0324
Let me show you a pattern I use in every project: version the `.opencode.json` so your whole team shares the same model config, but keep API keys in environment variables.
## Step 3: Run It
bash
cd your-project
opencode
That's it. OpenCode will index your codebase and drop you into an interactive session. Ask it to refactor a class, write tests, scaffold a module — the same tasks you'd throw at Claude Code.
## Step 4: Layer Providers by Task
The docs don't mention this, but you can swap models per task. Use free models for boilerplate generation and scaffolding, then switch to a stronger paid model for complex refactoring. This keeps most solo developers under $10/month.
Here's a rough cost-quality breakdown from my own benchmarking on a 400-line Kotlin refactor:
| Setup | Quality | Iterations | Cost/Month |
|-------|---------|-----------|------------|
| OpenCode + Pollinations | Acceptable | 3-6 | $0 |
| OpenCode + OpenRouter (DeepSeek V3) | Good | 2-4 | $0-5 |
| OpenCode + Copilot backend | Good | 2-3 | $10-19 |
| Claude Code (Opus) | Excellent | 1-2 | $100+ |
## Gotchas
**No persistent context.** OpenCode doesn't carry memory across sessions like Claude Code does. Each invocation starts fresh. This matters more than you'd expect — manage context deliberately or you'll repeat yourself constantly.
**Free models vanish.** Pollinations and OpenRouter's free tiers can change, degrade, or disappear without notice. Don't build critical workflows around endpoints you don't control.
**Copilot ToS risk.** Using your Copilot subscription through OpenCode is an unofficial integration. GitHub's [usage policies](https://docs.github.com/en/copilot) restrict API access to approved surfaces. This could break at any time, and you'd be on the wrong side of the terms. Check before proceeding.
**Quality gap is real.** Free and cheap models are measurably weaker on complex reasoning and large-context tasks. The gap is narrowing, but here's the gotcha that will save you hours: if you're fighting a model through six iterations, switch to a stronger one. The time cost exceeds the token cost.
**Configuration friction.** Expect provider-specific quirks and rougher error handling versus commercial tools. Small things, but they accumulate across a full workday.
## Conclusion
OpenCode decouples the agentic coding runtime from the model provider. Whether you're prototyping, evaluating agentic workflows before committing budget, or shipping professionally on a lean stack, you can start at zero and scale spend to match the task.
Install it today, configure DeepSeek V3 via OpenRouter, and run it against a real task. You'll know within 30 minutes whether it's good enough. Then benchmark: run your most common coding task across two setups and count iterations to completion. The right tool is the one where cost per quality outcome fits your situation.
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