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FlashQLA
A
Sora
A
Cursor
S
Ideogram
S
TaglineQwen'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.OpenAI's video model. Long clips, cinematic quality.VS Code fork that made AI coding actually work.The one that actually gets text in images right.
CategoryDev PlatformVideoCodingImage
PricingFree (MIT License, open-source)Included with ChatGPT Plus/ProFree + $20/mo Pro + $40/mo BusinessFree + $8/mo + $20/mo + $60/mo
Best forML 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.ChatGPT subscribers experimenting with cinematic shots.Developers. Non-developers who want to ship working code.Anything with text — posters, ads, album covers, slide decks.
Strengths
  • 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
  • Up to 20-sec clips at 1080p
  • Strong physics + scene composition
  • Storyboard feature for longer narratives
  • Remix existing videos
  • Tab completion feels like mind-reading
  • Composer for multi-file edits
  • Runs Claude, GPT, Gemini — you pick
  • Best text rendering in the game
  • Strong free tier
  • Good for logos, posters, thumbnails
Weaknesses
  • 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
  • Stricter content policy than competitors
  • Hit-or-miss on complex motion
  • Text-in-video still struggles
  • Can feel overwhelming for non-coders
  • Expensive at scale
  • Aesthetic ceiling below Midjourney
  • Less style variety
Kai's verdictA 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.)A-tier. Amazing when it works, frustrating when it doesn't. Runway still more reliable for pros.S-tier for coding. If you write code of any kind, this pays back the $20 in a day.S-tier for text-in-image. Use this for posters, Midjourney for art.
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