Kia EV4 test drive reveals the good, the bad, and the ugly
Can Kia’s first electric sedan live up to the hype? After launching the EV4 in Korea, we are finally seeing it in action. A new test drive of the EV4 gives us a closer look at what to expect as Kia prepares to take it global. Here’s how it went down.
Kia EV4 test drive: The good, the bad, and the ugly
Kia claims the EV4 will “set a new standard in electric vehicles” with long-range capabilities, fast charging, and a sleek new design.
The electric sedan features a unique, almost sports-car-like profile with a long-tail silhouette and added roof spoiler.
Kia claims it is “the new look of a sedan fit for the era of electrification.” Despite its four-door design, the company is calling it a new type of sedan.
The design is not only eye-catching, but it’s also super efficient. With a drag coefficient of just 0.23, the EV4 is Kia’s most aerodynamic vehicle so far, enabling maximum driving range and efficiency.
Kia opened EV4 orders in South Korea in March, starting at about $29,000 (41.92 million won). It’s available with two battery options: 58.2 kWh and 81.4 kWh. The entry-level “Standard Air” model, powered by the 58.2 kWh battery, is rated with up to 237 miles of driving range.
The “Long-Range Air” variant starts at 46.29 million won ($31,800) and has a driving range of up to 331 miles (533 km) in Korea.
With charging speeds of up to 350 kW, the EV4 can charge from 10% to 80% in around 29 minutes. The long-range battery will take about 31 minutes.
The interior boasts Kia’s latest ccNC infotainment system with a 30″ Ultra-wide Panoramic Display. The setup includes dual 12.3″ driver displays, navigation screens, and a 5″ air conditioning panel.
With deliveries kicking off, we are seeing some of the first test drives come out. A review from HealerTV gives us a better idea of what it’s like to drive the EV4 in person.
Sitting next to Kia’s first pickup, the Tasman, the reviewer mentions the EV4 feels “particularly newer.” The test drive starts around the city with a ride quality similar to that of the K5, if not even better.
As you can see from the camera shaking, the ride feels “a bit uncomfortable” on rough roads. However, on normal surfaces and speed bumps, Kia’s electric sedan “feels neither too soft nor too hard,” just normal. The reviewer calls the EV4’s overall ride quality “quite ordinary” with “nothing particularly special about it.”
When accelerating, the electric car was smooth in the beginning but felt “a little lacking in later stages.” Overall, it should be enough for everyday use.
One of the biggest issues was that the rear window appeared too low. The rear brake lights also stick out, making it hard to see clearly through the rearview.
Keep in mind that the test drive was the Korean-spec EV4. Kia will launch the EV4 in Europe later this year and in the US in early 2026.
In the US, the EV4 will include a built-in NACS port for charging at Tesla Superchargers and a driving range of up to 330 (EPA-est) miles. Prices will be revealed closer to launch, but the EV4 is expected to start at around $35,000 to $40,000.
Would you buy Kia’s electric sedan for around $35,000? Or would you rather have the Tesla Model 3, which starts at $42,490 in the US and has up to 363 miles of range? Let us know in the comments.
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Metro Detroit is about to get a big boost of fast EV chargers, with more than 40 new ChargePoint ports set to come online across multiple sites owned by the Dabaja Brothers Development Group.
The first ultra-fast charging site just opened in Canton, Michigan. It’s owned and operated by Dabaja Brothers, who plan to follow it with additional ChargePoint-equipped locations in Dearborn and Livonia.
“We started this project because we saw a gap in our community – there was almost nowhere to charge an EV in Canton, and a similar lack of charging across metro Detroit,” said Yousef Dabaja, owner/operator at Dabaja Brothers.
Each metro Detroit site will feature ChargePoint Express Plus fast charging stations, which can deliver up to 500 kW to a single port, can fast-charge two vehicles at the same time, and are compatible with all EVs. The stations feature a proprietary cooling system to deliver peak charging speeds for sustained periods, ensuring that charging speed remains consistent.
The stations operate on the new ChargePoint Platform, which enables operators to monitor performance, adjust pricing, troubleshoot issues, and gain real-time insights to keep chargers running smoothly.
Rick Wilmer, CEO at ChargePoint, said, “This initiative will rapidly infill the ‘fast charging deserts’ across the Detroit area, allowing drivers to quickly recharge their vehicles when and where they need to.”
Read more: ChargePoint just gave its EV charging software a major AI upgrade
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Mercedes-Benz High-Power Charging and Starbucks have officially opened their first DC fast charging hub together, off the I-5 in Red Bluff, California.
The 400 kW Mercedes-Benz chargers are capable of adding up to 300 miles in 10 minutes, depending on the EV, and every stall has both NACS and CCS cables – they’re fully open DC fast chargers.
Mercedes-Benz HPC North America, a joint venture between subsidiaries of Mercedes-Benz Group and renewable energy producer MN8 Energy, first announced in July 2024 that it would install DC fast chargers at Starbucks stores along Interstate 5, the main 1,400-mile north-south interstate highway on the US West Coast from Canada to Mexico. Ultimately, Mercedes plans to install fast chargers at 100 Starbucks stores across the US.
Mercedes-Benz HPC opened its first North American charging site at Mercedes-Benz USA’s headquarters in Sandy Springs, Georgia, in November 2023 as part of an initial $1 billion charging network investment. As of the end of 2024, Mercedes had deployed over 150 operational fast chargers in the US, but it hasn’t disclosed an official number of how many chargers are currently online.
Andrew Cornelia, CEO of Mercedes-Benz HPC North America, is leaving the company at the end of the month to become global head of electrification & sustainability at Uber.
Read more: Mercedes-Benz is deploying 400 kW US-made EV fast chargers with CCS and NACS cables
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The race for autonomous driving has three fronts: software, hardware, and regulatory. For years, we’ve watched Tesla try to brute-force its way to “Full Self-Driving (FSD)” with its own custom hardware, while the rest of the automotive industry is increasingly lining up behind NVIDIA.
Now that we know Tesla’s new AI5 chip is delayed and won’t be in vehicles until 2027, it’s worth comparing the two most dominant “self-driving” chips today: Tesla’s latest Hardware 4 (AI4) and NVIDIA’s Drive Thor.
Here’s a table comparing the two chips with the best possible specs I could find. greentheonly’s teardown was particularly useful. If you find things you think are not accurate, please don’t hesitate to reach out:
| Feature / Specification | Tesla AI4 (Hardware 4.0) | NVIDIA Drive Thor (AGX / Jetson) |
|---|---|---|
| Developer / Architect | Tesla (in-house) | NVIDIA |
| Manufacturing Process | Samsung 7nm (7LPP class) | TSMC 4N (custom 5nm class) |
| Release Status | In production (shipping since 2023) | In production since 2025 |
| CPU Architecture | ARM Cortex-A72 (legacy) | ARM Neoverse V3AE (server-grade) |
| CPU Core Count | 20 cores (5× clusters of 4 cores) | 14 cores (Jetson T5000 configuration) |
| AI Performance (INT8) | ~100–150 TOPS (dual-SoC system) | 1,000 TOPS (per chip) |
| AI Performance (FP4) | Not supported / not disclosed | 2,000 TFLOPS (per chip) |
| Neural Processing Unit | 3× custom NPU cores per SoC | Blackwell Tensor Cores + Transformer Engine |
| Memory Type | GDDR6 | LPDDR5X |
| Memory Bus Width | 256-bit | 256-bit |
| Memory Bandwidth | ~384 GB/s | ~273 GB/s |
| Memory Capacity | ~16 GB typical system | Up to 128 GB (Jetson Thor) |
| Power Consumption | Est. 80–100 W (system) | 40 W – 130 W (configurable) |
| Camera Support | 5 MP proprietary Tesla cameras | Scalable, supports 8MP+ and GMSL3 |
| Special Features | Dual-SoC redundancy on one board | Native Transformer Engine, NVLink-C2C |
The most striking difference right off the bat is the manufacturing process. NVIDIA is throwing everything at Drive Thor, using TSMC’s cutting-edge 4N process (a custom 5nm-class node). This allows them to pack in the new Blackwell architecture, which is essentially the same tech powering the world’s most advanced AI data centers.
Tesla, on the other hand, pulled a move that might surprise spec-sheet warriors. Teardowns confirm that AI4 is built on Samsung’s 7nm process. This is mature, reliable, and much cheaper than TSMC’s bleeding-edge nodes.
When you look at the compute power, NVIDIA claims a staggering 2,000 TFLOPS for Thor. But there’s a catch. That number uses FP4 (4-bit floating point) precision, a new format designed specifically for the Transformer models used in generative AI.
Tesla’s AI4 is estimated to hit around 100-150 TOPS (INT8) across its dual-SoC redundant system. On paper, it looks like a slaughter, but Tesla made a very specific engineering trade-off that tells us exactly what was bottling up their software: memory bandwidth.
Tesla switched from LPDDR4 in HW3 to GDDR6 in HW4, the same power-hungry memory you find in gaming graphics cards (GPUs). This gives AI4 a massive memory bandwidth of approximately 384 GB/s, compared to Thor’s 273 GB/s (on the single-chip Jetson config) using LPDDR5X.
This suggests Tesla’s vision-only approach, which ingests massive amounts of raw video from high-res cameras, was starving for data.
Based on Elon Musk’s comments that Tesla’s AI5 chip will have 5x the memory bandwidth, it sounds like it might still be Tesla’s bottleneck.
Here is where Tesla’s cost-cutting really shows. AI4 is still running on ARM Cortex-A72 cores, an architecture that is nearly a decade old. They bumped the core count to 20, but it’s still old tech.
NVIDIA Thor, meanwhile, uses the ARM Neoverse V3AE, a server-grade CPU explicitly designed for the modern software-defined vehicle. This allows Thor to run not just the autonomous driving stack, but the entire infotainment system, dashboard, and potentially even an in-car AI assistant, all on one chip.
Thor has found many takers, especially among Tesla EV competitors such as BYD, Zeekr, Lucid, Xiaomi, and many more.
Electrek’s Take
There’s one thing that is not in there: price. I would assume that Tesla wins on that front, and that’s a big part of the project. Tesla developed a chip that didn’t exist, and that it needed.
It was an impressive feat, but it doesn’t make Tesla an incredible leader in silicon for self-driving.
Tesla is maxing out AI4. It now uses both chips, making it less likely to achieve the redundancy levels you need to deliver level 4-5 autonomy.
Meanwhile, we don’t have a solution for HW3 yet and AI5 is apparently not coming to save the day until 2027.
By then, there will likely be millions of vehicles on the road with NVIDIA Thor processors.
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