OpenCode vs Claude Code: free agentic coding setup
Meta description: Set up OpenCode with OpenRouter, Pollinations, and Copilot for agentic coding capabilities — without the $100/month bill.
Tags: devops, architecture, productengineering, startup, cloud
TL;DR
Claude Code is great but costs $100+/month. OpenCode is an open-source terminal-based agentic coding tool that supports multiple LLM providers. By combining OpenRouter’s free-tier models, Pollinations’ zero-auth API, and your existing GitHub Copilot subscription, you can build a capable agentic coding setup for $0-$15/month. I’ll walk through how to set it up, what you lose, and when the tradeoffs make sense.
The cost problem with agentic coding
Tooling bills add up fast. Here’s what you’re looking at:
| Tool | Monthly cost | Model access | Open source |
|---|---|---|---|
| Claude Code (Max) | $100-$200 | Claude Opus/Sonnet | No |
| Cursor Pro | $20 | Multiple | No |
| GitHub Copilot | $10-$19 | GPT-4o, Claude | No |
| OpenCode + free providers | $0-$15 | Multiple | Yes |
If you’re a solo developer, a founder shipping an MVP, or a team evaluating agentic coding before committing budget, that bottom row deserves a closer look.
What is OpenCode?
OpenCode is an open-source, terminal-native agentic coding assistant. Think Claude Code’s UX but provider-agnostic. It runs in your terminal, reads your codebase, executes commands, edits files, and iterates on tasks. The difference: you bring your own model provider.
It supports any OpenAI-compatible API, so you can wire it up to dozens of providers.
The free/cheap provider stack
1. Pollinations: truly free, zero auth
Pollinations offers free LLM inference with no API key required. Point OpenCode at their endpoint and start prompting.
{
"provider": {
"name": "pollinations",
"baseURL": "https://text.pollinations.ai/openai",
"apiKey": "any"
},
"model": "openai"
}Rate limits are modest, model selection is limited, and you’re relying on community infrastructure. For light usage (prototyping, learning, quick scripts) it’s hard to beat at zero cost.
2. OpenRouter: pay-per-token with free tiers
OpenRouter aggregates dozens of models behind a single API. Several models are available at zero cost, including capable options like DeepSeek V3 and Llama 3.1 70B.
For context on pricing, here’s how OpenRouter’s paid per-token rates compare to direct API access:
| Model | Direct API (input / output per 1M tokens) | OpenRouter (input / output per 1M tokens) |
|---|---|---|
| DeepSeek V3 | $0.27 / $1.10 | $0.30 / $1.20 |
| Claude 3.5 Sonnet | $3.00 / $15.00 | $3.00 / $15.00 |
| Llama 3.1 70B | Varies by host | $0.40 / $0.40 (free tier available) |
OpenRouter isn’t cheaper per token than going direct. It often matches or adds a small margin. The value is API aggregation and a single billing relationship, not raw cost savings.
{
"provider": {
"name": "openrouter",
"baseURL": "https://openrouter.ai/api/v1",
"apiKey": "sk-or-..."
},
"model": "deepseek/deepseek-chat-v3-0324"
}Free models have queue priority issues during peak hours. Paid usage at even moderate volume rarely exceeds $5-10/month for a solo developer.
3. GitHub Copilot as a backend
Most teams miss this about Copilot: your subscription includes access to models like Claude 3.5 Sonnet and GPT-4o through the Copilot API layer.
A real caveat, though. GitHub’s Copilot terms of service restrict API usage to GitHub’s own surfaces and approved extensions. Using OpenCode against the Copilot API is an unofficial, unsupported integration that may violate your subscription agreement. GitHub could restrict this access at any time, and you’d be on the wrong side of the ToS. Check GitHub’s usage policies before proceeding.
Beyond the ToS concern, context windows and rate limits are tighter than direct API access. But if you already pay $10-19/month and accept the risk, you’re getting more out of an existing line item.
Realistic performance comparison
I benchmarked a refactoring task, extracting a 400-line Kotlin class into a clean architecture module, across setups:
| Setup | Completion quality | Iterations needed | Time to solution | Monthly cost |
|---|---|---|---|---|
| Claude Code (Opus) | Excellent | 1-2 | ~3 min | $100+ |
| OpenCode + OpenRouter (DeepSeek V3) | Good | 2-4 | ~7 min | $0-5 |
| OpenCode + Pollinations | Acceptable | 3-6 | ~12 min | $0 |
| OpenCode + Copilot backend | Good | 2-3 | ~5 min | $10-19 |
How I tested this
Benchmarks were run in March 2026 on an M2 MacBook Pro (16 GB RAM). Models tested: Claude Opus (via Claude Code), DeepSeek V3 0324 (via OpenRouter), GPT-4o (via Copilot), and the default Pollinations model at time of testing. I ran each setup three times on the same refactoring task and reported median values. “Completion quality” is my subjective rating based on whether the output compiled, passed existing unit tests, and followed the target architectural pattern without manual correction. This is one task, one developer. Your mileage will vary with task type, codebase size, and prompt style. Treat these as directional, not definitive.
What you give up
Before going all-in on a free stack, be honest about the tradeoffs:
OpenCode doesn’t persist context across sessions the way Claude Code does. Each invocation starts fresh unless you manage context manually. That matters more than you’d think once you’re used to having it.
There’s no official support. OpenCode is a community project. If it breaks, you file a GitHub issue and wait. No SLA, no support team.
Pollinations and free-tier OpenRouter models can change, degrade, or disappear without notice. Don’t build anything you rely on around endpoints you don’t control.
Free and cheap models are measurably weaker than frontier models on complex reasoning, large-context tasks, and nuanced refactoring. The gap is narrowing, but it’s real.
Expect configuration friction, provider-specific quirks, and rougher error handling compared to commercial tools. Small things, but they accumulate.
If reliability and consistency are non-negotiable for your workflow, the paid tools earn their price. I mean that genuinely, not as a hedge.
When to use which
Use the free stack when you’re prototyping, learning, working on personal projects, or just want to try agentic coding before spending money.
Use OpenRouter’s paid tier when you need reliable performance for daily professional work and want model flexibility without vendor lock-in.
Use Claude Code when you’re shipping production code at velocity and the $100/month pays for itself in the first hour of saved time. If you bill $150+/hour, this is simple math.
Setting up OpenCode
The standard install uses a shell script. As with any pipe-to-shell installation, review the script before executing it:
# Review the install script first
curl -fsSL https://opencode.ai/install | less
# Then install
curl -fsSL https://opencode.ai/install | bashOr download the binary directly from the OpenCode GitHub releases page and place it in your PATH.
# Configure with OpenRouter
export OPENCODE_PROVIDER=openrouter
export OPENCODE_API_KEY=sk-or-your-key
export OPENCODE_MODEL=deepseek/deepseek-chat-v3-0324
# Run in your project
cd your-project
opencodeConfiguration lives in a .opencode.json at your project root, so you can version it and share it with your team. Because OpenCode is provider-agnostic, you can switch models per task. Use a free model for boilerplate generation, then swap to a stronger model when you need it for a harder refactor.
The bigger picture
Agentic coding is following a pattern we’ve seen across developer infrastructure. Docker decoupled application packaging from the host OS. Terraform decoupled infrastructure definitions from cloud providers. OpenCode decouples the agentic coding runtime from the model provider. Whether this unbundling produces a lasting open-source tool or just pressures incumbents to lower prices, I’m not sure. But provider-locking yourself costs real money, and hedging that dependency is free right now.
Disclosure
This post is not sponsored. No provider mentioned here offered credits, access, or compensation. All tools were evaluated using publicly available free tiers or existing paid subscriptions.
What to do next
Install OpenCode with OpenRouter’s free tier today. Configure DeepSeek V3 and run it against a real task in your codebase. You’ll know within 30 minutes whether the quality is good enough.
Then layer your providers by task complexity. Free models for scaffolding and boilerplate, paid models for complex refactoring. This keeps monthly costs under $10 for most solo developers.
And before you buy anything, benchmark it. Run your most common coding task across two or three setups and count iterations to completion. The right tool is the one where cost per quality outcome fits your situation, not the one with the best landing page.