FDM-1 vs AskUI
Detailed side-by-side comparison to help you choose the right tool
FDM-1
Automation
Foundation model for computer use trained on 11-million-hour video dataset that can perform complex computer actions like CAD modeling, website navigation, and real-world tasks at 30 FPS.
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CustomAskUI
Automation
Test automation platform that works across web, mobile, desktop, and connected systems.
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CustomFeature Comparison
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FDM-1 - Pros & Cons
Pros
- âFirst computer-use foundation model trained on internet-scale video (11M hours), versus the largest open computer-use dataset of under 20 hours of 30 FPS video
- âNative 30 FPS video processing enables continuous control like smooth mouse movement and CAD operations rather than discrete screenshot-by-screenshot reasoning
- âHighly efficient video encoder compresses nearly 2 hours of footage into just 1M tokens, unlocking minute-scale context windows
- âUnsupervised training via the inverse dynamics model removes the bottleneck of expensive contractor-labeled screenshots
- âTest-time compute via OS checkpoints / forking VMs lets the model retry from validated intermediate states on long-horizon tasks
- âDemonstrably general â the same model performs CAD modeling, website fuzzing, and real-world driving without task-specific RL environments
Cons
- âNo public API, pricing page, or self-serve access â gated to enterprise and research partners
- âCapabilities are demonstrated through curated video clips rather than peer-reviewed benchmarks against established computer-use leaderboards
- âReleased February 23, 2026, so production track record, reliability, and safety guardrails are unproven at scale
- âInference at 30 FPS on minute-long video contexts implies significant GPU cost not disclosed publicly
- âNo documentation of supported operating systems, integrations, or developer tooling beyond the research blog post
AskUI - Pros & Cons
Pros
- âEliminates selector-based script maintenance that consumes 80% of typical QA engineering time, per AskUI's published industry data
- âValidates connected hardware-software systems (SIL, HIL, CAN signals, embedded) in a single run, which most web-focused automation tools cannot do
- âDocumented 80% reduction in testing time and 95% test coverage at DB Fernverkehr AG (published case study)
- âSingle test suite runs across web, mobile, desktop, and hardware variants without per-platform rewrites
- âAuto-generates audit trails, execution traces, and user manuals, reducing manual documentation overhead
- âScales sub-linearly: reportedly 4x less QA time than traditional tools at 20+ platforms
Cons
- âPricing is not publicly listed; requires a sales conversation for enterprise quotes
- âPositioned for enterprise and connected-systems QA, likely overkill for small teams testing only a simple web app
- âAI-driven visual recognition can be less deterministic than explicit selectors for highly stable UIs
- âSteeper conceptual shift for teams deeply invested in Selenium, Cypress, or Playwright script libraries
- âHardware-in-the-Loop features require compatible physical setups (cameras, ADB devices, CAN hardware)
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