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
- API quick start — curl, Python, TypeScript
- JoinGonka Gateway — a full overview
- Management Keys — SaaS on Gonka
Investments
Gonka vs Bittensor: A Detailed Comparison of Two Approaches to AI
Bittensor (TAO) is the largest AI crypto project with a $2 billion market cap and Coinbase listing. Gonka is a young contender with $80M in investments and 100% reward efficiency. Two fundamentally different approaches to decentralized AI.
What Bittensor Does
Bittensor is a marketplace for AI models on the blockchain. The network is divided into 126+ subnets, each specializing in a specific task: text generation, embeddings, 3D rendering, distributed learning. Miners perform AI tasks, validators assess the quality of results via Yuma Consensus. The TAO token ($192, market cap $2.07 billion) is traded on Coinbase, Kraken, and Binance. Grayscale has filed an application for an ETF.
Key Difference: Marketplace vs Single Network
Bittensor — horizontal specialization: 126 subnets with different tasks. But 60% of rewards go not to compute providers but to stakers (validators). For competitive staking, $1–5M in TAO is needed. Gonka — vertical efficiency: one model (Qwen3-235B) for AI inference, but 100% of rewards go to those who actually provide GPUs. Entry threshold is only hardware (~$35K for H100), no token purchase required.
Comparison by Key Parameters
Comparison of key parameters:
| Parameter | Gonka | Bittensor (TAO) |
|---|---|---|
| Market Cap | Early stage ($80M) | $2.07 billion (#37) |
| Consensus | Sprint (PoW 2.0) | Yuma Consensus |
| GPU Reward Share | 100% | ~40% |
| Entry Threshold | from $35K (GPU only) | from $35K + $1—5M stake |
| Models | 1 (Qwen3-235B) | 126+ subnets |
| Exchanges | OTC (SafeTrade) | Coinbase, Kraken, Binance |
| Investments | $80M (Coatue, Bitfury) | Public market |
When to Choose Gonka, When to Choose Bittensor
Choose Gonka if you want maximum reward efficiency (100% → GPU), a simple architecture (one API, one model), and are ready to invest in an early-stage project with high growth potential. Choose Bittensor if you want an exchange-traded token, access to 126 specialized subnets, and are willing to invest $1M+ for staking. Both projects can be held in a portfolio for diversification: GNK is a bet on efficiency, TAO is a bet on the ecosystem.
Bittensor = marketplace of 126 AI subnets, $2 billion cap, but 60% of rewards go to stakers. Gonka = single inference network, 100% GPU rewards, but early stage. Different approaches for different strategies.