Compare AI tools

	GitHub Copilot B	Elicit S	Stable Audio A	Flux (Black Forest Labs) A
Tagline	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	AI research assistant for academic literature.	Stability AI's open audio model. Loops + SFX + background.	Open weights + strong photorealism. The open-source answer.
Category	Coding	Research	Audio	Image
Pricing	Free (limited) + $10/mo Pro + $19/mo Business	Free + $12-$42/mo	Free + $12/mo Pro + enterprise	API + open weights (Schnell is Apache 2.0)
Best for	Teams with GitHub already. Devs who don't want to change IDEs.	Grad students, researchers, anyone doing literature reviews.	Game developers, podcasters needing SFX, video creators needing background music.	Developers + power users who want control and privacy.
Strengths	Great enterprise story Works in your existing IDE Chat + autocomplete	Searches 125M+ papers Extracts + synthesizes findings across papers Systematic review workflow	Open-weight model available Great for loops + game audio + SFX Commercial-use clarity	Runs locally on a beefy GPU Very photoreal Best open-weight model
Weaknesses	Less agentic than Cursor/Claude Code Model quality varies	Academic-only Can hallucinate citations — verify everything	Not for full songs with vocals Shorter generation limits	Harder to use than hosted tools Needs infra
Kai's verdict	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	S-tier for academic research. Nothing else comes close for systematic reviews.	A-tier for its niche. Different use case than Suno — SFX and loops, not songs.	A-tier. S-tier if you self-host. The reason open-source image gen matters.
Link	Open →	Open →	Open →	Open →