Short answer: Windsurf is a full IDE (a VS Code fork, now under Cognition, the same company behind Devin) with the Cascade agent and its own Tab autocomplete, including access to the proprietary SWE-1.7 model alongside Claude, GPT, and Gemini. Since March 19, 2026, usage has been capped by a daily and weekly quota that resets on its own, instead of accumulating like the old credits. Verboo Code is a terminal CLI with a dedicated GPU in Brazil, a fixed price, and unlimited tokens, running open models like GLM-5.2 and Kimi K2.7. If you want the full editor with Cascade and its own Tab, and your usage fits inside the plan's quota, stay on Windsurf. If you have already stalled a long task in the middle of your quota, or want a terminal with unlimited tokens, that is where Verboo Code comes in. Just note that here you cannot keep Windsurf and only swap the engine underneath: unlike Cursor, it has no custom base URL field, so migrating means switching tools.
Windsurf and Verboo Code side by side
| Attribute | Windsurf | Verboo Code |
|---|---|---|
| Billing model | Daily and weekly quota per plan, no accumulating credit (since 03/19/2026) | Fixed-price subscription, unlimited tokens within the plan |
| Entry price | Free (light quota, unlimited Tab) · Pro US$ 20/month | Junior R$ 99/month |
| Default model | SWE-1.7, Cognition's own model, RL-trained from a Kimi K2.7 base | 11 open models (GLM-5.2, DeepSeek V4, Kimi K2.7, and others), switch with /model |
| Interface | Full editor (VS Code fork) with the Cascade agent and its own Tab autocomplete | Terminal CLI, no graphical editor of its own |
| Infrastructure | Cognition/Devin cloud, inference via Cerebras (fast tier) and Fireworks (free tier) | Dedicated GPU, server in Brazil |
| Context | Varies by model, up to 1M tokens (Claude/GPT), auto-summarized once it fills up | 1M tokens on almost every model (exception: qwen3.8-27b, 262k) |
| OpenAI-compatible endpoint | No custom base URL: its BYOK only swaps the key for the official providers already listed (Anthropic, OpenAI, Google, xAI) | Exposes its own OpenAI-compatible router, ready for any client to point at |
| Best isolated benchmark | SWE-1.7: 42.3% on FrontierCode 1.1 Main, a few points behind GPT-5.5 (43.0%) and Opus 4.8 (46.5%) (Cognition, 07/08/2026) | GLM-5.2: 62.1 on SWE-bench Pro, ahead of GPT-5.5 (Z.ai, Jun/2026) |
When Windsurf is the right choice
- You want a full editor, with Cascade and its own Tab autocomplete, not just a terminal agent.
- Your daily usage is light or medium and fits inside the Free or Pro plan's quota.
- You want cloud sessions (Devin Cloud) and multi-agent orchestration in the same place.
- Your team already uses Windsurf, and switching tools costs more than learning to manage the quota.
When Verboo Code is the right choice
- You have already stalled a long task in the middle because Windsurf's daily or weekly quota ran out.
- You prefer a fixed, predictable price over tracking a quota that resets and does not carry over.
- You want a terminal with unlimited tokens, without waiting for the next quota refresh to continue the task.
- You want to run an open model (GLM, DeepSeek, Kimi) on a dedicated GPU, with a server in Brazil.
Where each one really wins
Windsurf's own model gets close to the frontier. SWE-1.7, released on July 8, 2026 and RL-trained from a Kimi K2.7 base (the same open model Verboo Code offers without extra post-training), scores 42.3% on FrontierCode 1.1 Main, against 43.0% for GPT-5.5 and 46.5% for Claude Opus 4.8, according to Cognition's official announcement. On Terminal-Bench 2.1, it closes at 81.5%, also a few points behind GPT-5.5 (84.2%) and Opus 4.8 (86.9%). The gap to the top is small, and it exists precisely because Cognition invested in agent-specific coding post-training on top of an open base, exactly where Verboo Code ships the raw model.
But a stronger model is not the same as a better-solved task, and Verboo Code's own catalog goes head to head with the market in a different measurement: on SWE-bench Pro, GLM-5.2 scores 62.1 points against 58.6 for GPT-5.5, according to Z.ai's official release on June 13, 2026. No single model wins every benchmark, there is a stronger model per task category and per who measured it. The question that decides which tool to use is not which one thinks better in isolation, it is how many times you can retry without recalculating your budget in the middle of the task.
That is where Windsurf's quota bites. Since March 19, 2026, the plan stopped selling an accumulating monthly credit and switched to a daily and weekly quota that resets on its own, from Free (light quota, only unlimited Tab) to Pro (US$ 20/month) to Max (US$ 200/month). Blow through the day's quota, and you wait for the next refresh, even with balance left for the month. On Verboo Code, the same kind of open model (GLM-5.2, DeepSeek V4, Kimi K2.7) runs with unlimited tokens inside a fixed monthly price, from R$ 99 on Junior to R$ 1,299 on Ultra. What varies between the open models is not a cap, it is speed: a heavier model processes more slowly, a rate limit tied to model weight, not a quota that runs out.
And here you cannot keep both at once, the way you can with Cursor. Verboo Code exposes its own endpoint compatible with the OpenAI protocol, at code.verboo.ai/router/v1, with a vbk_-format key. Windsurf, however, has no custom base URL field in its settings: its BYOK only unlocks swapping the key for the official providers already listed in the model picker (Anthropic, OpenAI, Google, xAI), not an arbitrary endpoint. Unlike what you can do by pointing Cursor at Verboo Code's engine, migrating here means switching tools, not just switching a setting.
Migrating without losing the terminal workflow
Since Windsurf will not point at an external engine, the path for anyone who wants to try without giving up the terminal habit is to run Verboo Code itself:
npm install -g @verboo/code
verboo
On first use, the CLI walks you through logging into your Verboo Code account and picking a model. You can switch models at any point in the session with /model, without losing the accumulated context. Windsurf's Cascade agent and Tab keep working exactly as they are, running side by side in a separate editor.
Frequently asked questions
Can I use Windsurf with Verboo Code's models?
Not directly. Windsurf has no custom base URL field: its BYOK only swaps the key for the official providers already listed (Anthropic, OpenAI, Google, xAI), unlike Cursor, which accepts pointing at any endpoint compatible with the OpenAI protocol. To use Verboo Code's open models, the path is to run Verboo Code itself in parallel, from the terminal.
Does Windsurf have an open-source model?
Not with published weights. SWE-1.7 is proprietary to Cognition, but it was RL-trained from a Kimi K2.7 base, the same open model Verboo Code also offers, without that extra post-training.
Which is cheaper, Windsurf or Verboo Code?
It depends on volume and on when the quota hits. For light use, Windsurf's Free or Pro (US$ 20/month) covers it. For heavy, recurring agent use, the daily quota bites even with weekly balance left, while Verboo Code charges a fixed price with unlimited tokens starting at R$ 99/month. Compare by the cost of work completed at your real volume, not by an isolated price tag.
Does Verboo Code have a graphical editor like Windsurf?
No. Verboo Code is a terminal CLI, in the same format as Claude Code. If you want to keep a full editor with Cascade and Tab autocomplete, Verboo Code runs alongside it from the terminal, not inside Windsurf.
If what is stalling your workflow is not the model's intelligence but a quota that resets before the task is done, Verboo Code solves that with unlimited tokens at a fixed price, in the same terminal habit you already have.
