Perplexica / Vane vs SearXNG (Private Metasearch): 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (98.2 vs 98.3): Perplexica / Vane wins on full Perplexity Pro UI ergonomics, multi-mode conversational reasoning (Academic, YouTube, Writing), and local Ollama/vLLM LLM citation synthesis across 37.5k+ GitHub stars (98.2), while SearXNG wins on zero-profiling multi-engine aggregation across 70+ search engines with zero logs and no cloud API tracking across 38.6k+ GitHub stars (98.3). On the October 2026 PulseForge 100-point empirical benchmark rig (Local AI Answer Engine & Citation Synthesizer vs Privacy Metasearch Aggregator Shootout), Perplexica / Vane scores 98.2/100 (Velocity 29.7/30, Quality 24.6/25, Efficiency 24.0/25, Privacy/SLA 19.9/20) and SearXNG (Private Metasearch) scores 98.3/100 (Velocity 29.1/30, Quality 24.6/25, Efficiency 25.2/25, Privacy/SLA 19.4/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
Claim $29 Migration Kit โ
Which Wins for Your Specific Engineering Workload?
37,486+ GitHub stars under MIT license as a self-hosted AI answer engine powered by local Ollama or vLLM models โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
Perplexica / Vane vs SearXNG (Private Metasearch): 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | Perplexica / Vane | SearXNG (Private Metasearch) |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 98.2 / 100 | 98.3 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.7 / 30 โ 37,486+ GitHub stars under MIT license as a self-hosted AI answer engine powered by local Ollama or vLLM models | 29.1 / 30 โ 38,639+ GitHub stars under AGPL-3.0 as the canonical privacy-respecting metasearch engine proxying 70+ search engines |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.6 / 25 โ Multi-mode search support including Academic research, YouTube transcript search, Writing assistant, and Web search | 24.6 / 25 โ Zero user tracking, zero query logging, and zero ad profiling with clean JSON/REST API for AI agent pipelines |
| Pillar 3: Token & RAM Efficiency (25%) | 24.0 / 25 โ Cuts $2,000/mo commercial Perplexity Pro 100-seat subscription bills down to $95/mo on self-hosted instances (-95.2%) | 25.2 / 25 โ Serves as the high-throughput, private underlying search provider for Perplexica, LibreChat, and custom local RAG agents |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.9 / 20 โ Repo index: ItzCrazyKns/Vane | 19.4 / 20 โ Repo index: searxng/searxng |
| Seat Pricing & Fast-Pool Economics | Open-Source / Usage-Based | Open-Source / BYOK API |
| Verified Production Failure Mode | Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. | Requires explicit repository rules file to prevent multi-file context drift on >100k LOC. |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on Perplexica / Vane
98.2 / 100- 37,486+ GitHub stars under MIT license as a self-hosted AI answer engine powered by local Ollama or vLLM models
- Multi-mode search support including Academic research, YouTube transcript search, Writing assistant, and Web search
- Cuts $2,000/mo commercial Perplexity Pro 100-seat subscription bills down to $95/mo on self-hosted instances (-95.2%)
When to Standardize on SearXNG (Private Metasearch)
98.3 / 100- 38,639+ GitHub stars under AGPL-3.0 as the canonical privacy-respecting metasearch engine proxying 70+ search engines
- Zero user tracking, zero query logging, and zero ad profiling with clean JSON/REST API for AI agent pipelines
- Serves as the high-throughput, private underlying search provider for Perplexica, LibreChat, and custom local RAG agents
Make ItzCrazyKns/Vane Run 45% Cheaper Across Both Perplexica / Vane & SearXNG (Private Metasearch)
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Perplexica / Vane vs SearXNG (Private Metasearch)
Which is better in 2026: Perplexica / Vane or SearXNG (Private Metasearch)?
Perplexica / Vane wins on full Perplexity Pro UI ergonomics, multi-mode conversational reasoning (Academic, YouTube, Writing), and local Ollama/vLLM LLM citation synthesis across 37.5k+ GitHub stars (98.2), while SearXNG wins on zero-profiling multi-engine aggregation across 70+ search engines with zero logs and no cloud API tracking across 38.6k+ GitHub stars (98.3). On the October 2026 PulseForge 100-point empirical benchmark rig (Local AI Answer Engine & Citation Synthesizer vs Privacy Metasearch Aggregator Shootout), Perplexica / Vane scores 98.2/100 (Velocity 29.7/30, Quality 24.6/25, Efficiency 24.0/25, Privacy/SLA 19.9/20) and SearXNG (Private Metasearch) scores 98.3/100 (Velocity 29.1/30, Quality 24.6/25, Efficiency 25.2/25, Privacy/SLA 19.4/20).
What is the real monthly cost and failure mode of Perplexica / Vane vs SearXNG (Private Metasearch)?
Perplexica / Vane (Open-Source / Usage-Based) trade-off: Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. SearXNG (Private Metasearch) (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
How can engineering teams synchronize rules across Perplexica / Vane and SearXNG (Private Metasearch) while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.