Knowledge Base Sections ▾
For Beginners
For Investors
- Where does GNK token value come from
- Gonka vs Competitors: Render, Akash, io.net
- The Libermans: from biophysics to decentralized AI
- GNK Tokenomics
- Risks and Prospects of Gonka: Objective Analysis
- Gonka vs Render Network: Detailed Comparison
- Gonka vs Akash: AI Inference vs Containers
- Gonka vs io.net: Inference vs GPU Marketplace
- Gonka vs Bittensor: A Detailed Comparison of Two Approaches to AI
- Gonka vs Flux: Two Approaches to Useful Mining
- Governance in Gonka: How a Decentralized Network is Managed
Technical
Analytics
Tools
- Cursor + Gonka AI - cheap LLM for coding
- Claude Code + Gonka AI - LLM for the terminal
- OpenClaw + Gonka AI - affordable AI agents
- OpenCode + Gonka AI - free AI for code
- Continue.dev + Gonka AI - AI for VS Code/JetBrains
- Cline + Gonka AI - AI agent in VS Code
- Aider + Gonka AI - pair programming with AI
- LangChain + Gonka AI - AI applications for pennies
- n8n + Gonka AI - automation with cheap AI
- Open WebUI + Gonka AI - your own ChatGPT
- LibreChat + Gonka AI — open-source ChatGPT
- Hermes Agent + Gonka AI — Autonomous Agent for Pennies
- Kilo Code + Gonka AI — AI-Agent in VS Code
- Roo Code + Gonka AI — Autonomous AI Agent in VS Code
- LlamaIndex + Gonka AI — RAG applications for pennies
- PydanticAI + Gonka — typed AI agents for pennies
- Vercel AI SDK + Gonka AI — AI applications in TypeScript for pennies
- TanStack AI + Gonka — AI applications in TypeScript for pennies
- API quick start — curl, Python, TypeScript
- JoinGonka Gateway — a full overview
- Management Keys — SaaS on Gonka
- Cheapest AI API: Provider Comparison 2026
- Cursor Pro request limit reached — real breakdown and cheap alternative
- Claude Code cheaper alternative — bill breakdown and switch
- Cline burned through dollars — why the agent burns money
- OpenClaw too expensive — why the agent burns tokens and how to save
- OpenRouter cheaper alternative — comparison vs JoinGonka Gateway
Tools
Cursor + Gonka AI - cheap LLM for coding
Cursor is one of the most popular AI code editors in 2026. Autocompletion, refactoring, test generation, code explanation — all work through LLM models. But the cost of OpenAI and Anthropic API can reach $15 per 1M tokens, and with active development, the monthly bill can easily exceed $100.
JoinGonka Gateway — an OpenAI-compatible API to the decentralized Gonka network for $0.001/1M tokens. This is 2800 times cheaper than OpenAI GPT-5.5. The Qwen3-235B model with MoE architecture (22 billion active parameters) provides quality comparable to GPT-5.5 and Claude Sonnet 4.6 — but for pennies.
Connecting to Cursor takes 30 seconds. Below is a step-by-step guide.
Step 1: Get JoinGonka API Key
To connect Cursor to Gonka, you need an API key from JoinGonka Gateway - our gateway to the decentralized network.
- Go to gate.joingonka.ai/register and create an account.
- Upon registration, you will automatically receive a bonus of 10,000,000 free tokens - enough for thousands of AI requests.
- In your personal account (Dashboard), go to the API Keys section and click Create Key.
- Copy the key - it starts with
jg-, for example:jg-abc123def456.
The key works with any OpenAI-compatible client: Claude Code, Aider, Continue.dev, and of course, Cursor.
Security: The key is displayed once upon creation. Save it in a safe place. If lost, create a new one and deactivate the old one in the Dashboard.
Step 2: Configure Cursor
Open Cursor and go to settings:
- Settings → Models (or
Ctrl+,→ Models) - In the OpenAI API Key field, paste your
jg-xxxkey. - Enable Override OpenAI Base URL and enter:
https://gate.joingonka.ai/v1 - In the model list, add:
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 - Select this model as the primary for Chat, Composer, and Autocomplete.
Verification: Open Cursor Chat (Ctrl+L) and type any query, for example: "Write a sorting function in Python". If a response appears, everything is set up correctly.
Optimization Tips:
- For autocompletion, use the same model - Qwen3-235B understands code context well.
- Enable streaming for faster response - the response starts to display immediately, without waiting for full generation.
- If you need a different response format - use System Prompt in Cursor settings for fine-tuning.
Possible errors:
401 Unauthorized- check that the key starts withjg-and is active in the Dashboard.404 Not Found- make sure the Base URL is exactlyhttps://gate.joingonka.ai/v1(with/v1at the end).- Timeout - the first request can take 5-10 seconds due to cold start of the node in the network. Subsequent ones are faster.
Cost Comparison
Cursor actively uses tokens: autocompletion, Chat, Composer, refactoring — these are all requests to LLMs. With typical development (4-6 hours a day), 3-10M tokens are consumed daily. Let's compare the cost:
| Provider | Model | Price per 1M | Day (~7M) | Month (~150M) |
|---|---|---|---|---|
| JoinGonka Gateway | Qwen3-235B | $0.001 | $0.007 | $0.15 |
| OpenAI | GPT-5.5 | ~$5.00 | $35 | $750 |
| Anthropic | Claude Sonnet 4.6 | ~$7.00 | $49 | $1,050 |
Savings: In a month of active development, JoinGonka Gateway will save $750—1,000 compared to OpenAI/Anthropic. For a team of 5 developers — $3,750—5,250 per month.
At the same time, the quality of Qwen3-235B answers is comparable to GPT-5.5 and Claude on coding tasks: function generation, refactoring, writing tests, explaining code. The model supports native tool calling, making it suitable for agent scenarios as well.
Model parameters: Qwen3-235B supports a 128K token context window. The maximum response length via Gateway is up to 8192 tokens (Qwen3-235B; Kimi K2.6 — 3072, MiniMax M2.7 — 4096), which is more than enough for autocompletion and chat. Model specifications: HuggingFace. List of available models: GET https://gate.joingonka.ai/v1/models.