tesla revealed this Tuesday two new versions of its two most popular vehicles, the Model Y and Model 3called Standard with less equipment to reduce its price by up to 13%.
The cheapest is the Model 3 Standard that will have a price of $36,990 in USA$5,500 less than the most affordable version until now.
He Model Y Standard will cost $39,9905,000 dollars less than what was until now the lower priced version.
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After the launch, the actions of tesla They fell by more than 4% of their value and were trading at around $434.5.
In exchange for the reductionthe new Standard versions they don’t count with Autopilotthe driving assistance system that tesla has defined as one of its competitive advantages, factory.
The vehicles are capable of operating with the so-called system Full Self-Driving (FSD) Supervised advanced autonomous driving but your installation has a cost $8,000.
Lower than expected
The reduction offered by the Standard models is lower than expected for the analysts who had bet that the new prices would compensate for the loss of the tax credits of up to $7,500 for electric vehicles, which expired on September 30.
Some analysts They consider that the launch of cheaper versions of Model 3 and Model Y will not be enough for tesla attract new customersat a time when the company is losing consumers while increasing sales of electric vehicles around the world.
The analyst Gary Black pointed out in the social network who fears that Sales of Standard versions be consumers who choose new vehicles over more expensive versions of tesla.
“Since this is only a new finish and does not provide anything new, we are more convinced that it will not generate an incremental increase in volume, but rather will cannibalize the higher priced finishes,” he explained.
This Tuesday tesla also launched, in a limited way, its first major FSD update in a year, version 14.
The new FSD v14 Not compatible with vehicles equipped with HW3.0 hardware Therefore, only the most modern versions will be able to use the software whose main novelty is that it increases the capacity of the neural network up to 10 times, which means a better interpretation of the environment and greater freedom when making decisions.
