SearXNG vs Paid Search API for Local LLMs

SearXNG is the default recommendation when local LLM users ask for web search: it is free, self-hosted, and privacy-respecting. What the recommendations leave out is the operational reality: roughly 65% success rate on queries, 2-3 second average latency, and 8+ hours per month in maintenance. Paid search APIs like Scavio and Brave cost $0.005/query but return structured JSON with 99%+ uptime. The decision is not free versus paid. It is time versus money.

SearXNG: The Real Numbers

SearXNG aggregates results from multiple search engines (Google, Bing, DuckDuckGo, and others) through their public-facing interfaces. It works by simulating browser requests, which means it is subject to rate limiting, CAPTCHAs, and IP blocking from every source engine.

Based on community reports and production logs from users running SearXNG for agent grounding:

• Success rate: 60-70% of queries return useful results. The remaining 30-40% return empty results, partial results, or errors from upstream engines blocking the request.
• Latency: 2-3 seconds average, with spikes to 8-10 seconds when multiple upstream engines time out and the fallback chain kicks in.
• Maintenance: Docker container updates, engine configuration changes when upstream APIs break, IP rotation setup when your server IP gets blocked by Google, and debugging intermittent failures. Realistically 8-12 hours per month for a reliable deployment.

The Hidden Cost of Free

SearXNG's server requirements are modest: a $5/month VPS handles it. But the real cost is developer time. At a conservative $75/hour for a developer's time, 8 hours of monthly maintenance costs $600. That buys 120,000 queries at $0.005 each from a paid API.

Most local LLM users make 50-500 queries per day, or roughly 1,500-15,000 per month. At $0.005/query, that is $7.50-$75/month for a paid API. The SearXNG "free" deployment costs 8-80x more when you count time.

# SearXNG cost calculation
searxng_vps_cost = 5  # $/month
searxng_maintenance_hours = 8  # hours/month
developer_hourly_rate = 75  # $/hour
searxng_total = searxng_vps_cost + (searxng_maintenance_hours * developer_hourly_rate)
# Total: $605/month

# Paid API cost calculation
queries_per_month = 5000  # typical local LLM usage
cost_per_query = 0.005
paid_api_total = queries_per_month * cost_per_query
# Total: $25/month

print(f"SearXNG real cost: ${searxng_total}/month")
print(f"Paid API cost: ${paid_api_total}/month")
print(f"SearXNG costs {searxng_total / paid_api_total:.0f}x more")

Reliability Comparison

For agent grounding, reliability matters more than cost. When an agent calls a search tool and gets no results, it either hallucinates an answer (bad) or fails the task (wasteful). Every failed search query costs tokens for the retry, additional latency for the user, and potential accuracy loss if the agent proceeds without grounding.

# SearXNG with fallback to paid API
import requests

def search_with_fallback(query):
    """Try SearXNG first, fall back to paid API."""
    # Try SearXNG
    try:
        resp = requests.get(
            "http://localhost:8080/search",
            params={"q": query, "format": "json"},
            timeout=5,
        )
        data = resp.json()
        if data.get("results") and len(data["results"]) > 0:
            return {"source": "searxng", "results": data["results"]}
    except Exception:
        pass

    # Fallback to paid API
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={
            "x-api-key": "your_key",
            "Content-Type": "application/json",
        },
        json={"query": query, "num_results": 10},
    )
    data = resp.json()
    return {"source": "scavio", "results": data.get("results", [])}

# This hybrid approach uses SearXNG when it works (free)
# and paid API only when SearXNG fails (~35% of queries)
# Effective cost: ~$0.00175/query instead of $0.005

Brave Search API: The Middle Ground

Brave Search API sits between SearXNG and full-featured search APIs. At $0.005/query with a $5/month free credit, it provides structured results with good reliability. The tradeoff: Brave returns web results but does not cover Google Maps, Amazon, YouTube, or other platform-specific data that some agents need.

For pure web search grounding of a local LLM, Brave is a solid choice. For multi-platform search (web plus maps plus product data), you need a broader API.

Decision Framework for Local LLM Users

Choose based on your actual constraints:

• You have more time than money, query volume under 100/day, and enjoy system administration: SearXNG is a reasonable choice. You will spend time maintaining it, but you will learn how search aggregation works.
• You want reliability without thinking about infrastructure, and your query volume is under 5,000/month: Brave at $5/month or Scavio at $0 (250 free queries/month) are the simplest options.
• You run agents that need consistent, fast search for production workloads: paid API without question. The 99%+ uptime and sub-second response times are worth $25-75/month at typical agent volumes.
• You want to optimize cost aggressively: use the hybrid approach above. SearXNG as primary, paid API as fallback. You get SearXNG's free queries when it works and paid reliability when it does not.

MCP Setup for Both Options

If you use MCP to connect search to your local LLM (via Ollama, LM Studio, or Open WebUI), both SearXNG and paid APIs have MCP server support:

{
  "mcpServers": {
    "scavio": {
      "command": "npx",
      "args": ["-y", "@scavio/mcp"],
      "env": { "SCAVIO_API_KEY": "sk_live_..." }
    }
  }
}

For SearXNG, community-maintained MCP servers exist but quality varies. The official Scavio MCP server is maintained by the API provider and ships with tool descriptions optimized for local model tool calling.

The Privacy Argument

The strongest argument for SearXNG is privacy: queries never leave your infrastructure. This matters for sensitive use cases like legal research, medical queries, or competitive intelligence. If query privacy is a hard requirement, SearXNG is the only option that guarantees it.

For most local LLM users, the privacy benefit is real but the reliability cost is also real. The practical compromise: use SearXNG for sensitive queries and a paid API for general grounding. Tag your queries by sensitivity and route accordingly.

Bottom Line

SearXNG is not free when you count time. At 8+ hours of maintenance per month, it is one of the most expensive search options for anyone whose time has value. It is the right choice when privacy is non-negotiable or when learning search infrastructure is a goal. For everyone else, $0.005/query for 99%+ uptime is a better deal than $0/query for 65% success rate.