Introducing Model Y Long Wheelbase – now available in the US & Puerto Rico
A 3-row, 6-seat configuration that brings exceptional interior space with ample headroom & legroom for all passengers
0-60 in 4.4 seconds
325 miles of range
– Front row: Heated/ventilated seats w/ powered thigh cushion
– Second row: Heated/ventilated captain seats w/ powered armrests & one‑touch fold
– Third row: Heated seats w/ power recline, one‑touch fold & child seat anchors
– Improved airflow, increased efficiency & more range
– 89 cu ft of trunk space: with 6 passengers, trunk still fits a 28" and 20" suitcase each, plus frunk holds an additional 20" suitcase. Oversized items like snowboards and bikes also fit easily
– Engineered for safety w/ seat belts & side air bag optimized for second & third row
– Upgraded acoustic glass & suspension to minimize road noise
– Adaptive damping for a smooth, stable ride
– Staggered tires for enhanced grip
– Larger tailgate for better rear visibility & bigger windows overall to deliver great views from every seat
– 16" first row & 8” second row touchscreens + 19-speaker immersive Tesla Audio
– Upgraded 50W wireless charging pads w/ active cooling & charging ports for all other seats
– FSD Supervised & integrated Grok AI
https://t.co/erculCry18
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026
https://t.co/BNPqT9TbsW
@elonmusk@kylaschwaberow Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
Happy Father’s Day to all the men who work hard, provide for their family, who are faithful, and who stand willing to do whatever it takes to protect, love, and cherish their wife and kids. We need you more than ever. Thank you for all you do!
A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.
His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on arrival.
Doctors later confirmed the quick reroute likely saved his life.
New release of FSD Supervised now starting to roll out
This update brings 20% faster reaction time to further increase safety, among many other improvements
Full release notes below
Full Self-Driving (Supervised) v14.3 includes
- Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
- Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
- Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
- Mitigated unnecessary lane biasing and minor tailgating behaviors.
- Increased decisiveness of parking spot selection and maneuvering.
- Improved parking location pin prediction, now shown on a map with a (P) icon.
- Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
- Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
- Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
- Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
- Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.
Upcoming Improvements
- Expand reasoning to all behaviors beyond destination handling.
- Add pothole avoidance.
- Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.