Compare AI tools

	GitHub Copilot B	Windsurf A	FlashQLA A	Recraft S
Tagline	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	Codeium's agentic IDE. Cascade agent + strong free tier.	Qwen's open-source GPU kernel library that squeezes 2–3× more speed out of linear attention on NVIDIA Hopper hardware — if you're lucky enough to own one.	Vector + raster AI for designers. Actually controls the output.
Category	Coding	Coding	Dev Platform	Image
Pricing	Free (limited) + $10/mo Pro + $19/mo Business	Free + $15/mo Pro	Free (MIT License, open-source)	Free + $12-$48/mo
Best for	Teams with GitHub already. Devs who don't want to change IDEs.	Developers who want Cursor-like power for less money.	ML engineers and researchers running Qwen3.x linear-attention models on H100/H200 clusters who need to close the gap between theoretical GDN efficiency and actual hardware throughput.	Designers, brand teams, anyone needing vector output or tight style control.
Strengths	Great enterprise story Works in your existing IDE Chat + autocomplete	Cheaper than Cursor Cascade agent for multi-file tasks Solid free tier	2–3× forward-pass and ~2× backward-pass speedup over FLA Triton kernels on Hopper GPUs Gate-driven automatic intra-card context parallelism boosts SM utilization in long-sequence, small-head-count regimes without manual config Hardware-friendly algebraic reformulation reduces Tensor Core, CUDA Core, and SFU overhead with no numerical precision loss MIT licensed and fully open-source — drop it straight into Qwen3.x training and inference pipelines	Exports SVG vectors — rare in AI image gen Strong style control + consistency Brand kit for consistent outputs
Weaknesses	Less agentic than Cursor/Claude Code Model quality varies	Smaller community Model selection more limited	Extremely narrow hardware requirement: SM90+ only (H100/H200, DGX Spark) with CUDA 12.8+ and PyTorch 2.8+ — useless outside Hopper-class clusters GDN/Qwen-specific: not a drop-in replacement for FlashAttention-style softmax kernels, and won't help you if you're not running linear-attention Qwen models Very new, minimal community adoption or third-party validation yet	Less hyped than Midjourney Learning curve for non-designers
Kai's verdict	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	A-tier. Close second to Cursor. If $5/mo matters, start here.	A genuinely impressive, laser-focused kernel optimization from the Qwen team — real speedups on real hardware — but its utility is gated behind Hopper GPUs and Qwen's GDN architecture, making it a niche power tool rather than a broadly useful library. (Verdict pending Phi's full review.)	S-tier for designers. The only one that takes vectors seriously.
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