Short answer: Devin is an autonomous cloud coding agent. You hand it an entire task, it works alone in an isolated VM, and it hands back a ready pull request, with no line by line interactive session. It bills by ACU, the unit that measures the agent's autonomous work time, starting at US$ 20/month of access (Core) plus US$ 2.25 per extra ACU, or US$ 500/month on the Team plan, which includes 250 ACUs. Verboo Code is an interactive terminal CLI that you drive command by command, with dedicated GPU, unlimited tokens, and a fixed price starting at R$ 99/month. If your work is delegating a task and walking away while the agent solves it alone, Devin does exactly that, and Verboo Code does not try to compete on that mode. If your work is a long session that you drive yourself, without counting how many ACUs or agent minutes are left, that is where Verboo Code comes in.
Devin and Verboo Code side by side
| Attribute | Devin | Verboo Code |
|---|---|---|
| Mode of work | Asynchronous autonomous agent: takes the task, works alone in a cloud VM, returns a PR when done | Interactive terminal CLI: you drive the session in real time, command by command |
| Billing model | ACU (Agentic Compute Unit, about 15 minutes of autonomous work per unit) | Fixed price subscription, unlimited tokens within the plan |
| Entry price | Core US$ 20/month + US$ 2.25 per extra ACU | Junior R$ 99/month |
| Mid tier | Team US$ 500/month, 250 ACUs included, extra ACU at US$ 2.00 | Pro R$ 249/month · Max R$ 499/month |
| Default model | SWE-1.7, Cognition's own model, also available in Devin via Cerebras at 1,000 TPS | 11 open models (GLM-5.2, DeepSeek V4, Kimi K2.7 and others), switch with /model |
| Infrastructure | Cognition's cloud, isolated VM per session | Dedicated GPU, server in Brazil |
| OpenAI-compatible endpoint | No custom base URL: model choice limited to the official list (Base Model, Devin Desktop Premier, GPT-4o, Claude 3.5 Sonnet) | Exposes its own OpenAI-compatible router, ready for any client to point at |
| Best isolated benchmark | SWE-1.7: 77.8% on SWE-Bench Multilingual, ahead of GPT-5.5 (76.8%) (Cognition, 07/08/2026) | GLM-5.2: 62.1 on SWE-bench Pro, ahead of GPT-5.5 (58.6) (Z.ai, 06/13/2026) |
When Devin is the right choice
- You want to delegate an entire task and walk away, without driving the session line by line.
- Your team runs several tasks in parallel, each in its own isolated VM, without needing a dev's constant attention.
- You have a team budget and a workload that fits inside the 250 ACUs of the Team plan.
- You want the agent to open a PR ready for review, not a terminal session for you to pilot yourself.
When Verboo Code is the right choice
- You prefer to drive the session yourself, line by line, with full control over every step the agent takes.
- You already ran out of ACUs in the middle of a long task and had to wait for the next billing cycle.
- You prefer a fixed, predictable price over calculating how much compute a task consumed.
- You want a terminal with unlimited tokens, without counting how many agent minutes a long debugging session will burn.
Where each one actually wins
Devin does not fall behind on raw intelligence. Since July 8, 2026, it runs SWE-1.7, Cognition's own model, available in Devin (Web, Desktop, and CLI) via Cerebras at 1,000 tokens per second. On SWE-Bench Multilingual, SWE-1.7 scores 77.8%, ahead of GPT-5.5 (76.8%) and just a few points behind Claude Opus 4.8 (84.4%), according to Cognition's official announcement. On Terminal-Bench 2.1, it closes at 81.5%, behind GPT-5.5 (84.2%) and Opus 4.8 (86.9%). It is a model that gets close to the frontier, the result of the agent-specific post-training Cognition did on top of an open Kimi K2.7 base, the same model Verboo Code also offers, just without that extra post-training.
But no model wins everything. On SWE-bench Pro, GLM-5.2, one of Verboo Code's open models, scores 62.1 points against 58.6 for GPT-5.5, according to Z.ai's official launch on June 13, 2026. The question that decides which tool to use is not which model thinks better in isolation, it is which mode of work fits the task. Devin delivers an agent that runs alone in a VM and returns a ready PR, with no line by line supervision. Verboo Code delivers a terminal session that you drive, command by command, with no token ceiling. They are different modes of work before they are different models.
Devin's Team plan costs US$ 500/month and includes 250 ACUs, each worth about 15 minutes of autonomous work, according to Devin's own pricing page. That is 62.5 hours of work per month, less than 3 hours per business day if the goal were full-time coverage. Extra ACUs cost US$ 2.00 each, and on the Core plan (US$ 20/month) every ACU is billed separately, at US$ 2.25. Verboo Code has no compute unit to count: it is a fixed price with unlimited tokens, from R$ 99 on Junior to R$ 1,299 on Ultra, and what varies between the 11 open models is response speed, not a ceiling that runs out. Unlimited tokens is not the caveat in this comparison, it is the central advantage: while Devin bills for the time the agent spent working, Verboo Code bills for the subscription, full stop.
And here you cannot keep both at once, the way you can by pointing Cursor or Codex at Verboo Code's engine. Devin does not open a custom base URL field: model choice is limited to the official list (Base Model, Devin Desktop Premier, GPT-4o, and Claude 3.5 Sonnet), according to Devin's own documentation. Migrating here means switching tools, not just switching a setting.
Running Verboo Code alongside Devin
Since Devin does not accept pointing at an external engine, the path for anyone who wants unlimited tokens without giving up the terminal habit is to run Verboo Code itself, in parallel:
npm install -g @verboo/code
verboo
On first run, the CLI walks you through login with your Verboo Code account and model selection. You can switch models at any point in the session with /model, without losing accumulated context. While Devin handles the tasks you can delegate and let run on their own, Verboo Code covers the sessions you want to drive closely.
Frequently asked questions
Can I use Devin with Verboo Code's models?
Not directly. Devin has no custom base URL field: model choice is limited to the official list already built in. To use Verboo Code's open models, the path is running Verboo Code itself in parallel, from the terminal.
Does Devin have an open source model?
Not with published weights. SWE-1.7 is proprietary to Cognition, but it was trained through reinforcement learning on top of an open Kimi K2.7 base, the same open model Verboo Code also offers, without that extra post-training.
Which is cheaper, Devin or Verboo Code?
It depends on the volume of autonomous work you delegate. Devin's Team plan covers 62.5 hours of work per month for US$ 500; past that, every extra ACU adds US$ 2.00. Verboo Code bills a fixed price with unlimited tokens starting at R$ 99/month, with no usage unit to multiply. Compare by the cost of the work actually completed at your real volume, not by the sticker price alone.
Does Verboo Code handle autonomous tasks without me watching, like Devin?
Not the same way. Verboo Code is an interactive CLI: you drive the session command by command, it does not spin up an isolated VM to work alone and hand back a ready PR. If what you need is to delegate a whole task and walk away, that is a real advantage of Devin.
If what is holding back your workflow is not giving up control of the session, but no longer counting how many ACUs or agent minutes you have left, Verboo Code solves that with unlimited tokens at a fixed price, in the same terminal habit you already have.
