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Tesla Model Y vs Audi e-tron vs Jaguar I-PACE: price and specs comparison

(Photo: Tesla)

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The Tesla Model Y has been unveiled, and it will likely prove to be one of the electric car maker’s best-selling vehicles. Equipped with a robust set of features and offered at a reasonable price, the Model Y has the potential to disrupt the highly lucrative crossover SUV market the same way that its sibling, the Model 3, disrupted the passenger sedan segment in the US last year.

As the market prepares for the arrival of the Model Y, it becomes pertinent to compare it to other all-electric SUVs in the market. So far, there are two that are pretty close to the Model Y in size: the Audi e-tron and the Jaguar I-PACE. Faced with this competition, how does the Model Y stack up?

Tesla Model Y

The Model Y could be described as a larger, bulkier version of the Model 3. Similar to the electric sedan, the Tesla Model Y is offered in either RWD or AWD options. The vehicle starts at a $39,000 for the Standard Range version and goes all the way to $60,000 for the Performance variant. Just like Tesla’s other vehicles, the all-electric SUV is designed to go the distance, with the Standard version having 230 miles of range, the Long Range having 300 miles of range, and the Dual Motor AWD and Performance version having 280 miles of range per charge.

The Model Y is no slouch, as even the Standard version can sprint from 0-60 mph in 5.9 seconds. The range-topping Model Y Performance, with its dual motors, hits 60 in 3.5 seconds all the way to a top speed of 150 mph. Being based on the Model 3, the Model Y features a hyper-minimalistic interior, capped off by a stunning panoramic glass roof. A fully-loaded red multicoat red Model Y with Autopilot, Full Self-Driving, and the optional third-row seats (which would boost the car’s seating capacity to seven passengers), would set back buyers around $73,500.

A key advantage of the Model Y is its access to Tesla’s expansive and ever-growing Supercharger Network, allowing owners of the newly-released SUV to go on long road trips without any range anxiety. Being a derivative of the Model 3, the Model Y is also compatible with Tesla’s Supercharger V3 network, which has a maximum power output of 250 kW, or 1,000 miles per hour. Tesla estimates that Supercharger V3’s charging times will average around 15 minutes per vehicle.

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Audi e-tron

The Audi e-tron. [Credit: Audi]

The Audi e-tron debuted last year, at a time when the Model X was the only SUV in Tesla’s lineup. The size of the e-tron is more comparable with that of the Model Y though, making a comparison between the two vehicles a bit more appropriate. Price-wise, the e-tron is priced higher than the Model Y, costing just under $76,000 for the basic Premium Plus package, while the higher-end Prestige option starts at $81,800. With all the major upgrade boxes ticked on the Premium Plus offering, the e-tron would cost around $88,000.

Performance-wise, the e-tron falls behind the Model Y, with its 0-60 mph time of around 5 seconds and its top speed of 124 mph. Audi has been pretty secretive about the e-tron’s range, though the vehicle’s 95 kWh battery pack suggests that the SUV should have more than 200 miles of range per charge. Inside the vehicle, the e-tron is classic Audi, with multiple configurable screens and several creature comforts.

The Audi e-tron has some tricks up its sleeve when it comes to charging. The SUV could plug into a variety of chargers, including a 150 kW setup that is expected to charge the vehicle’s battery to 80% in just ~30 minutes. Such charging speeds are quite comparable to those of Tesla’s Supercharger V2 stations, which, as the Tesla community has proven over the years, is more than adequate for long trips.

Jaguar I-PACE

The I-PACE is priced at a premium compared to the recently unveiled Model Y, starting at around $70,000 for the S model all the way to the $86,000 HSE or “First Edition” trim. With all options checked, the I-PACE could breach the $100,000 barrier, thanks to rather expensive items like $500 floormats.

Just like the e-tron, the I-PACE falls a bit short of the Model Y’s specs, with its 0-60 mph time of 4.5 seconds, its top speed of t 124 mph, and its range of 234 miles per charge. The I-PACE has one edge over the Model Y though, in the form of its plush interior, which would delight car buyers looking for a more traditional vehicle with more conventional creature comforts and accents. The I-PACE is also available now, unlike the e-tron and the Model Y, which are yet to start rolling out to customers.

The Jaguar I-PACE actually falls behind the Model Y and the Audi e-tron in terms of its charging systems, as it is capable of charging up to 100 kW. This means that charging the vehicle’s 90 kWh battery to 80% (provided that a 100 kW fast charger is available) would take about 40 minutes.

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Conclusion

Overall, each vehicle would likely be perfect for specific car buyers. Those looking for an electric SUV that is familiar and conventional would best pick up an I-PACE or an e-tron. Nevertheless, when it comes to bang-for-your-buck value and sheer performance specs, it is difficult to argue against the Model Y.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla intertwines FSD with in-house Insurance for attractive incentive

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.

Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.

The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.

The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.

Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.

The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.

Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.

For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.

Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.

The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.

Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.

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Elon Musk

Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

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Credit: Elon Musk | X

Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.

But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”

He said that AI4 is enough to do that.

Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.

Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.

Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.

But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.

On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).

Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.

Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.

Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.

Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.

In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.

The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.

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Elon Musk signals expansion of Tesla’s unique side business

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

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tesla diner
Credit: Tesla

Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.

Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.

Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.

The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.

The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.

Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.

The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.

Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.

If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.

Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.

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