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FlashQLA
A
Claude Code
S
Gemini
A
Rows
A
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.Anthropic's CLI agent. Opus-powered, operates on your repo directly.Google's answer. Best integrated with Workspace + free for a lot.Spreadsheets with AI + live integrations baked in.
CategoryDev PlatformCodingChatbotsData
PricingFree (MIT License, open-source)Part of Claude Pro/Max/Team plansFree + $20/mo Advanced (bundled with 2TB Drive)Free + $19-$89/user/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.Developers who want an agent, not autocomplete. Large refactors, tests, docs.Anyone already on Google, research tasks, summarizing long documents.Ops teams, marketers, anyone building dashboards from multiple sources.
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
  • Runs locally, edits your actual files
  • Strong on large codebases with 1M context
  • Great at multi-step tasks
  • Native Google Workspace integration
  • Very long context (1M+)
  • Deep Research feature
  • Free tier is generous
  • Pull live data from Stripe, Slack, Google Analytics, etc.
  • AI functions inside cells
  • Modern UX
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
  • Terminal-based — learning curve
  • Can't be used without Claude subscription
  • Writing quality trails Claude
  • Over-refusals on edge content
  • UI is cluttered
  • Not a full Excel replacement for heavy users
  • Integrations best on paid tiers
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.)S-tier if you live in the terminal. Different shape than Cursor — complementary, not replacement.A-tier. The Deep Research feature is genuinely useful. Don't sleep on it if you're already paying Google.A-tier. The most interesting spreadsheet in years. Great for ops dashboards.
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