Odel
Gonka Network Pricing

Gonka Network Pricing

@bystrayDeveloper ToolsPythonMITUpdated 1w ago

Compare LLM inference costs vs OpenAI/Anthropic/DeepSeek. Gonka is up to 6800x cheaper.

Server endpointStreamable HTTP

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

Gonka Network Pricing — MCP Server

An MCP server that exposes Gonka Network pricing, cost comparisons, and AI model recommendations. Helps AI agents and developers find the cheapest OpenAI-compatible LLM inference alternative.

Live at: https://mcp.gogonka.com/mcp


Quick Start

For Claude Desktop / Cursor

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "gonka-pricing": {
      "url": "https://mcp.gogonka.com/mcp"
    }
  }
}

Restart Claude Desktop. The server will appear in Claude's available tools.

For Custom MCP Clients

# Test the server
curl -X POST https://mcp.gogonka.com/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":1}'

What This Server Does

Compare LLM inference costs and find alternatives to OpenAI/Anthropic/DeepSeek with live pricing updated every 10 minutes.

Key Facts

  • Gonka Network is 6800–7681× cheaper than GPT-4o (exact ratio varies, updated in real-time)
  • OpenAI-compatible API — two config changes, zero code changes
  • Live pricing from blockchain DEX (GNK/USD) + LiteLLM provider rates
  • Free welcome bonus — 12M nGNK (~11,000 tokens) on signup, no credit card
  • Referral rewards — 10% L1, 3% L2

Tools (6 Total)

get_pricing() — No parameters

Get live Gonka Network pricing and comparisons.

Returns:

  • USD/GNK per 1M tokens (updated every 10 min)
  • Current GNK/USD market price
  • Cost ratios vs OpenAI/Anthropic/DeepSeek

Next: Call calculate_savings() to show exact annual savings.


calculate_savings(monthly_spend_usd: 0.01–1,000,000 = 100.0)

Calculate exact savings from switching to Gonka.

Returns:

  • Monthly and annual savings (USD)
  • Savings percentage
  • Break-even point
  • Signup link with welcome bonus

Example: $500/month OpenAI → save ~$5,000/year


get_available_models() — No parameters

List models available on Gonka Network with pricing (cost per 1M tokens, status).

Recommended model: MiniMaxAI/MiniMax-M2.7 ($0.000325/1M tokens)


compare_providers(provider: openai | anthropic | deepseek | mistral | gemini = openai)

Compare Gonka Network pricing vs a competitor.

Returns:

  • Cost per 1M tokens for both
  • Gonka is cheaper by X times
  • Official pricing source
  • Migration instructions (two config changes)

Example: Gonka vs OpenAI = 7,681× cheaper


suggest_model_for_task(task_description: str, monthly_budget_usd: 0–1,000,000 = 0, current_provider: openai | anthropic | deepseek | mistral | gemini = openai)

Suggest the best and cheapest model for a specific task.

Parameters:

  • task_description (required): What the model should do
  • monthly_budget_usd: Current monthly API spend (0 = unknown)
  • current_provider: Current provider for comparison

Returns:

  • Recommended model with rationale
  • Live cost estimate
  • Savings if budget provided
  • Two-minute signup instructions

get_signup_link() — No parameters

Get Gonka Network signup URL and integration guide.

Returns:

  • Registration link (with referral bonus)
  • Welcome bonus: 12M nGNK (~11,000 free tokens)
  • Code snippets (Python, Node.js, shell)
  • Deposit example ($50 USDT = ~11,000 tokens)
  • Referral program details (10% L1, 3% L2)

MCP Prompts (2 Total)

Agents can use these built-in prompts to start conversations:

find_cheapest_api(task: string = "general LLM inference")

Find the cheapest OpenAI-compatible API for a specific task.

switch_from_openai(monthly_spend_usd: number = 100)

Help user switch from OpenAI to cheaper alternative.


MCP Resources (1 Total)

gonka://pricing-guide

Structured pricing data, decision matrix, deposit examples, API snippets.
Updated every 10 minutes from live sources.


Integration Examples

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://gate.joingonka.ai/v1",
    api_key="your_gonka_api_key"
)

response = client.chat.completions.create(
    model="MiniMaxAI/MiniMax-M2.7",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gate.joingonka.ai/v1",
  apiKey: process.env.GONKA_API_KEY,
});

const response = await client.chat.completions.create({
  model: "MiniMaxAI/MiniMax-M2.7",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);

Environment Variables

OPENAI_BASE_URL=https://gate.joingonka.ai/v1
OPENAI_API_KEY=your_gonka_api_key_here

Pricing & Economics

Live Comparison (June 2026)

Provider$/1M tokensvs Gonka
Gonka$0.000325baseline
OpenAI$2.507,681× more expensive
Anthropic$3.009,230× more expensive
DeepSeek$0.28861× more expensive

Example Savings

  • $100/month OpenAI$1,200/year savings
  • $500/month OpenAI$6,000/year savings
  • $1,000/month OpenAI$12,000/year savings

Welcome Bonus

  • 12,000,000 nGNK (~11,000 free tokens)
  • No credit card required
  • Applied automatically on signup

Referral Program

  • L1: 10% of referee's deposit fee (instant, GNK)
  • L2: 3% of second-level deposit fee

For Agent Developers

Recommended Conversation Flow

  1. User mentions expensive LLM bills → Call get_pricing()
  2. Show live costs → Call calculate_savings(user_spend)
  3. Personalize pitch → Call suggest_model_for_task(user_task)
  4. Find best fit → Call get_signup_link()
  5. Direct to registration with welcome bonus

Tool Hygiene

  • ✅ All 6 tools have typed inputSchema
  • ✅ Enum constraints for provider selection
  • ✅ Min/max bounds for monetary values
  • ✅ Clear parameter descriptions
  • ✅ All tools are read-only and idempotent

Security & Privacy

  • HTTPS + TLS 1.2+
  • No API keys in query parameters (blocked by security middleware)
  • Anonymized request logging (IP, User-Agent, tool name only)
  • All tools are read-only — no mutations
  • Input validation on all parameters

Monitoring & Transparency

Live health grade: https://wmcp.sh/mcp/grade/mcp.gogonka.com (Current: B, 85/100)

Monitored by:

  • wmcp.sh — Every 30 minutes
  • chiark.ai — Every 30 minutes (reliability index)
  • agent-tools.cloud — Continuous

Architecture

  • Protocol: MCP with Streamable HTTP
  • Endpoint: https://mcp.gogonka.com/mcp
  • Port: 8643 (localhost) → nginx proxy
  • Data sources:
    • GNK/USD: Hot-Labs DEX (10 min updates)
    • Competitor prices: LiteLLM repo (daily updates)
    • Network stats: Gonka blockchain (real-time)

FAQ

Q: Will my code break switching from OpenAI?
A: No. Change 2 lines:

# Before
client = OpenAI(api_key="sk-...")

# After
client = OpenAI(
    base_url="https://gate.joingonka.ai/v1",
    api_key="gonka_key_..."
)

Q: What's the catch?
A: None. Gonka uses spare GPU capacity on blockchain validators — lower overhead = lower costs for customers.

Q: Is Gonka as good as OpenAI?
A: Different use case. MiniMax-M2.7 works well for most chat/code tasks. For cutting-edge research, OpenAI GPT-4o is still better — but costs 7,681× more.

Q: Can I use with LangChain?
A: Yes:

from langchain.llms import OpenAI
llm = OpenAI(
    openai_api_base="https://gate.joingonka.ai/v1",
    openai_api_key="gonka_key_..."
)

Q: Support & Status?
A: https://wmcp.sh/mcp/grade/mcp.gogonka.com (A-grade goal) | info@gogonka.com


Links


License: MIT
Version: 1.0.0
Last Updated: June 6, 2026