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openpilot Driving Models — Complete Database & Comparison

Browse the most complete community-maintained list of openpilot driving models from comma.ai and sunnypilot. Compare 130+ models — WMI V12, OP Model 10, Dark Souls, Tomb Raider, Off-Policy, Down to Ride and more — with community ratings, release dates, steering feel, and lane behavior. Visualize each model’s driving personality in real time. Updated regularly with the latest end-to-end (E2E) releases.

Disclaimer & Reference Notice

User mileage may vary based on your comma device, mounting location, vehicle hardware, openpilot fork, and software version. This page is provided for reference only and does not claim to be a perfectly accurate representation of driving model behavior in real-world scenarios. Always remain alert and ready to resume manual control immediately.

About openpilot driving models

Common questions about comma.ai openpilot, sunnypilot, and the model picker.

What are openpilot driving models?

openpilot driving models are the neural networks at the heart of openpilot — the open-source advanced driver assistance system from comma.ai. Each model is trained on millions of miles of real-world driving data and is responsible for predicting steering, lane positioning, and longitudinal control. Different models have distinct personalities — some hug the center of the lane, some cut the apex on curves, and others prioritize passenger comfort.

What is the best openpilot model right now?

There is no single "best" openpilot model — the right pick depends on your car and how you drive. WMI V12 is the flagship for daily driving in 2026, OP Model 10 v3 is the current Off-Policy recommendation, Down to Ride v6 is the comfort favorite, Dark Souls v2 suits trucks and SUVs, and Recertified Herbalist remains the gold standard for highway stability. Use the comparison grid above to filter by tag, score, and steering feel.

Where do openpilot models come from — comma.ai or sunnypilot?

Most stock driving models ship with openpilot from comma.ai, and sunnypilot — the popular community fork — bundles many of them plus additional community-tuned and experimental variants distributed through Sunnylink. This wiki tracks both pipelines: official comma.ai releases, sunnypilot custom builds, and community models like TCPmV3 (The Cool Peoples Model).

What does WMI stand for in openpilot?

WMI stands for World Model Iteration. The WMI series (V10, V11, V12) uses comma.ai's end-to-end (E2E) architecture, which "sees" the world more like a human driver — understanding 3D scenes, stop signs, intersections, and road edges instead of just painted lane lines. WMI V12 is the current flagship and is the recommended starting point for most drivers.

What is an end-to-end (E2E) openpilot model?

End-to-end (E2E) models are neural networks trained to map raw camera input directly to driving commands, rather than relying on hand-tuned perception → planning → control pipelines. The result is more human-like behavior in complex urban scenarios — stop signs, intersections, lane merges — at the cost of feeling slightly less rigid on straight highways. The WMI series and most 2025/2026 comma.ai releases are E2E.

How often does comma.ai release new openpilot models?

Comma.ai pushes new openpilot driving models on a roughly weekly cadence through their Firehose / SOTA training pipeline. Sunnypilot then ships stabilized cuts to Sunnylink users along with community-tuned variants. This database is updated as new models land — last refreshed October 09, 2026.

Are sunnypilot driving models different from comma.ai openpilot models?

They share the same underlying model architecture, but sunnypilot exposes far more of them through the Sunnylink model picker — including experimental, community-tuned, and legacy models that comma.ai no longer ships by default (like Blue Diamond or Recertified Herbalist). If you run sunnypilot you can switch between dozens of models live; on stock openpilot you typically get whatever ships with the release.

Why do some openpilot models hug the left or right lane?

Lane bias usually comes from a mismatch between the model's training data and your specific camera mount. The standard fix is to adjust the Camera Offset in Sunnylink settings — typically +0.05 to +0.10 for left-hugging models. The model details on each card above call out known left/right hug issues so you know what to expect before you flash.