Compare AI tools

	Perplexity S	Stable Audio A	GitNexus A	DeepSeek S
Tagline	AI search done right. Cited answers, not chat theater.	Stability AI's open audio model. Loops + SFX + background.	An open-source, MCP-native knowledge graph engine that gives AI coding agents (Cursor, Claude Code, Windsurf) genuine structural awareness of your codebase before they touch a single line.	Chinese open-weight powerhouse. Crazy cheap, genuinely smart.
Category	Research	Audio	Coding	Chatbots
Pricing	Free + $20/mo Pro	Free + $12/mo Pro + enterprise	Free (MIT open source)	Free web + ultra-cheap API (~$0.14/M input tokens)
Best for	Replacing Google for any question where you want a cited answer in seconds.	Game developers, podcasters needing SFX, video creators needing background music.	Developers working in large or unfamiliar codebases who want their AI coding agent to stop making confident, structurally blind edits — especially Claude Code power users.	Developers + cost-conscious builders. Anyone fine with self-hosting.
Strengths	Sources every claim Fast, current answers Pro Search runs multi-step research Spaces for persistent context	Open-weight model available Great for loops + game audio + SFX Commercial-use clarity	Pre-computes a full dependency graph (functions, imports, class inheritance, execution flows) via Tree-sitter ASTs — agents query structure, they don't guess at it Zero-server, privacy-first: CLI runs entirely locally with no network calls; browser UI processes code client-side and never uploads it Deepest Claude Code integration on the market: MCP tools + agent skills + PreToolUse/PostToolUse hooks that auto-enrich searches and auto-reindex after commits One global MCP server handles multiple indexed repos — set up once with npx gitnexus setup and forget it detect_impact and generate_map MCP prompts give pre-commit blast-radius analysis and auto-generated Mermaid architecture docs	Open weights you can self-host Strong reasoning + math Near-free API pricing DeepSeek-V3 / R1 are serious models
Weaknesses	Not a general chatbot Answers can be shallow on complex topics	Not for full songs with vocals Shorter generation limits	Browser-side RAG has hard ceilings: WASM heap limits constrain embedding model quality compared to server-side tools; monorepos or repos >50k files hit practical walls Community-built and not officially maintained — velocity and long-term support depend on contributor goodwill Claude Code gets the full integration experience; other editors (Windsurf, Cursor) get progressively less — value is uneven depending on your editor	Data goes to servers in China — privacy concerns for business use Chinese policy filters English polish trails Western models
Kai's verdict	S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.	A-tier for its niche. Different use case than Suno — SFX and loops, not songs.	GitNexus solves a real and underappreciated problem: AI coding agents are syntactically fluent but architecturally blind, and plugging a pre-computed knowledge graph into the MCP layer is the right fix. 28k GitHub stars in days suggests the pain is widely felt — just go in knowing it's a community project, not a polished product. (Verdict pending Phi's full review.)	S-tier for price/performance. A-tier for consumer use. If you build apps, this is the budget pick.
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