A cheap Windsurf alternative without credits or limits

The subscription-credit model is convenient for provider billing but unpredictable for the user. You pay a fixed monthly sum that includes a certain package of "credits" or premium requests to powerful models. In practice, this leads to three typical problems.

• Credits run out mid-month. Agentic mode and autocomplete use up requests quickly—a single complex task can "eat" dozens of premium calls. Once the package is exhausted, you either pay extra or are switched to a weaker model until the next cycle.
• Opaque "credit = tokens" exchange. In a credit model, it's hard to understand exactly how much compute power you get for your money. One "request" for a large, long-context task costs the same credits as a simple question—even though the actual compute consumption differs by orders of magnitude. You pay for an abstract unit rather than actual work volume.
• Speed and quantity limits. During intensive work, you can hit daily completion limits or throttling. For a developer keeping their AI assistant on all day, this means the tool "shuts off" at the worst possible moment.

The root problem is that a subscription averages things out: light users overpay for unused credits, while heavy users hit the ceiling and pay extra. Pay-as-you-go removes this averaging: you pay exactly for the tokens you processed and never hit an artificial "package" limit.

A familiar scenario: you start agentic mode for a major refactor, the agent takes a few dozen steps, and in the middle of the task, you get a notification that premium requests are exhausted for the month. You're left with few choices: pay extra right now, switch to a reduced model that handles your code worse, or pause work. Any option breaks your flow. The more actively you use the tool, the more often you hit this ceiling; the paradox of the subscription model is that it punishes the most engaged users.

Important: we aren't saying Windsurf is a bad product. It is a high-quality IDE with a well-thought-out agentic mode. But if your only complaint is the price, credits, and limits, you don't need to change your entire workflow. You just need to change the model source to a cheap, transparent API with pay-as-you-go billing.

Most AI editors under the hood access the same large language models (LLM) via standard APIs. Windsurf wraps this access in a subscription. But there is another way: use an editor client capable of connecting to an arbitrary OpenAI-compatible endpoint and point it to an inexpensive API.

JoinGonka Gateway is an OpenAI-compatible gateway to the decentralized Gonka network, where thousands of GPUs worldwide perform real AI inference. Key differences from the subscription model:

• Pay-as-you-go. The price is $0.003 per 1M input tokens and $0.009 per 1M output tokens. No fixed monthly fee, no expiring credits. Processed 5M tokens in a day — paid $0.024.
• No request limits. You do not hit a daily completion ceiling — the only restriction is your balance, which you top up as needed.
• Frontier models. Through the Gateway, Kimi K2.6 and MiniMax M2.7 are available — cutting-edge open models competitive on coding tasks, both at the same price of $0.003/1M.
• Compatibility with familiar editors. Any client that supports a custom OpenAI base URL works with the Gateway: Cursor, Cline, Continue.dev, VS Code extensions, as well as CLI tools like Claude Code.

In other words, you keep your familiar workflow (editor, autocomplete, chat, agent) but change the billing: instead of a subscription with credits, you get transparent pay-per-token billing. For most developers, this means the monthly bill drops from tens of dollars to cents, and limits vanish entirely.

If you want to start without investment, you get 10 million free tokens upon registration, which is enough for thousands of requests. This is enough to test the setup on real tasks before topping up your balance.

The main difference isn't in the unit price, but in the payment model itself. Subscriptions charge a flat fee and restrict usage via credits; pay-as-you-go charges only for actual consumption and does not limit the number of requests. Let's compare the approaches:

To estimate prices, it is useful to compare token costs for proprietary providers used by AI-IDE subscriptions with Gonka's pricing. Below are estimated prices per 1M tokens (input / output):

The difference in inference cost is three to four orders of magnitude. With typical active development (several million tokens per day), a subscription with premium GPT-level requests costs tens of dollars per month with the risk of hitting a limit, whereas the same volume through Gonka costs cents — with no ceiling. This math makes pay-as-you-go an attractive alternative when credits run out.

Let’s calculate with a concrete example. Suppose you are actively coding with an AI assistant and consuming about 7M tokens a day — a realistic figure for a developer keeping autocomplete and chat enabled for 4-6 hours. Over 20 working days, that's roughly 140M tokens per month. Via JoinGonka Gateway, at $0.0048/1M, this would cost $0.67 per month. For a proprietary provider at the GPT-5.5 level (if you paid for tokens directly), the same volume would cost hundreds of dollars. The Windsurf subscription averages this cost into a flat fee — but only until you exceed the credit bundle. As soon as you go over (which an active developer does), you face extra charges or degradation to weaker models. Pay-as-you-go removes this ceiling: 140M, 300M, or 1B tokens — the unit price doesn't change, there are no limits.

For a team, the effect scales linearly. Five developers on a subscription mean five fixed payments plus the risk of each one hitting their credit limit during a intense sprint. The same five people on a shared Gonka balance pay only pennies to dollars in total per month and are never blocked by limits. For a startup or indie team, this is the difference between "an AI assistant as an expense that needs rationing" and "an AI assistant that is simply always on."

A note on transparency: Kimi K2.6 and MiniMax M2.7 are powerful open models, but on specific complex coding tasks, top proprietary models may still produce slightly higher quality results. It's a price/quality question: for a thousands-fold difference in cost, open models on the Gonka network cover the vast majority of everyday tasks — autocomplete, refactoring, test generation, and code explanation.

The switch doesn't require giving up your familiar editor — you just need to point the client to the JoinGonka Gateway. First, get a key:

1. Sign up at gate.joingonka.ai/register — you will receive 10M free tokens upon registration.
2. In the Dashboard, open the API Keys section and create a key. It starts with jg-, e.g., jg-abc123def456.

Next, connect based on your editor. For OpenAI-compatible clients (Cursor, Continue.dev, Cline, VS Code extensions), specify two parameters:

Base URL: https://gate.joingonka.ai/v1
API Key:  jg-your-key
Model:    MiniMaxAI/MiniMax-M2.7

If you prefer environment variables (terminal tools, scripts):

export OPENAI_BASE_URL=https://gate.joingonka.ai/v1
export OPENAI_API_KEY=jg-your-key

For tools using the native Anthropic protocol (e.g., Claude Code), the Gateway supports the /v1/messages endpoint directly — just set two variables:

export ANTHROPIC_BASE_URL=https://gate.joingonka.ai
export ANTHROPIC_API_KEY=jg-your-key

Step-by-step instructions for specific editors: Cursor, Cline, Continue.dev. After configuring, test it: send a prompt in the editor's chat ("write a Python sorting function") — if a response comes back, everything is working. The first request may take 5-10 seconds due to the cold start of the node in the network; subsequent requests will be faster.

Troubleshooting. A 401 Unauthorized error means the key is incorrect or inactive — check that it starts with jg- and is active in the Dashboard. A 404 Not Found error almost always means a missing /v1 at the end of the Base URL. If the editor requires you to select a model from a list, enter the identifier manually: MiniMaxAI/MiniMax-M2.7.

Two frontier models are available via JoinGonka Gateway, with both at the same price — $0.003/1M tokens. Choice depends on the task:

• Kimi K2.6 — a powerful model with a focus on agentic and tool-based tasks (function calling, multi-step scenarios). Suitable when you need an agent that actively uses tools.
• MiniMax M2.7 — another modern option in the set; it's useful to have the ability to switch if one model works better for your style of tasks.

Since both are priced the same, switching between them costs nothing — experiment and choose the one that yields the best results for your objectives. You can get an updated list of models by querying GET https://gate.joingonka.ai/v1/models.

Working tip: for agentic tools (Cline and similar), native tool calling is critical — it is available in Gonka models, so the agent correctly handles file reading, command execution, and search. For autocomplete, enable streaming so the response starts appearing immediately without waiting for full generation.

Do I have to switch from my usual editor? No. If your editor supports a custom OpenAI base URL (which Cursor, Cline, Continue.dev, and most VS Code extensions do), you simply change the model source. The editor itself, hotkeys, and workflow remain the same.

Do I need to understand cryptocurrency? No. JoinGonka Gateway accepts payment and issues a standard API key — for a developer, everything looks just like any other AI provider. The GNK cryptocurrency works under the hood, but you don't need to buy tokens or set up a wallet to use the gateway.

How do I top up my balance? Payments in GNK (no fees) and USDT (5% fee) are supported. After topping up, tokens are consumed based on actual usage.

Will agent mode be supported? Yes, if you use an agent-based editor client (e.g., Cline), it works through the Gateway just like any other provider, thanks to the native tool calling of Gonka models.

Is it safe? The Gonka network consists of over 4500 GPUs, PoUW (Proof of Useful Work) consensus instead of idle computations, ~$80M in investments, and a security audit by CertiK. Requests are processed through a decentralized network, not a single corporate repository.

What if I'm not satisfied with the model quality for a specific task? Switch to another model from the set (Kimi K2.6, MiniMax M2.7) — the price is the same. And thanks to OpenAI compatibility, you can switch back to your previous provider at any time by changing one parameter. There is no vendor lock-in.