Tesla's FSD Fleet Approaches 7 Billion Miles Driven, Over 2.5 Billion in Urban Streets

Tesla's expanding Full Self‑Driving (FSD) fleet is rapidly approaching another major data milestone, logging nearly 7 billion total miles of real‑world driving on public roads, with more than 2.5 billion of those miles in city environments. 

The latest figures come directly from Tesla’s official FSD mileage dashboard, which tracks aggregated distances traveled by vehicles equipped with the company’s supervised FSD software. According to the live counter, the cumulative total has reached approximately 6.99 billion miles and continues to climb. 

almost to 7 billion miles pic.twitter.com/t12qkWjbuW

— Whole Mars Catalog (@wholemars) December 26, 2025

Urban Miles Driving FSD Progress

What makes the latest milestone especially noteworthy is the sheer volume of city‑street driving included in the tally. Tesla owners and observers, including prominent FSD tracker Whole Mars Catalog, have pointed out that over 2.5 billion miles of the accumulated figure were driven on urban road networks. 

City miles are considered crucial for advancing autonomous driving technology because they expose systems to a wide range of complex scenarios: unprotected turns, unpredictable pedestrian behavior, dense traffic lights and stop signs, and frequent interactions with other vehicles. This kind of data is widely seen as essential for improving how self‑driving systems handle real‑world environments that go beyond long stretches of highway. 

Data Scale and Learning

The nearly 7 billion miles driven by Tesla’s FSD fleet underscore the scale of real‑world data Tesla has amassed compared with many competitors, powered by the company’s large global vehicle base and continuous software updates. As vehicles accumulate more miles under the supervised FSD umbrella, Tesla’s neural networks can refine decision‑making for a wide variety of driving contexts. 

Industry observers often point to city miles in particular as a benchmark for progress, because urban environments involve more diverse and unpredictable driving conditions than open roads — conditions that traditional rule‑based systems struggle with and that AI‑driven approaches like Tesla’s seek to master. 

Ongoing Evolution of Tesla’s FSD

Tesla’s FSD system, now commonly referred to as FSD Supervised, remains a beta‑stage feature that requires a human behind the wheel and active supervision. The company has repeatedly emphasized that continued real‑world usage and data gathering are pivotal to its long‑term goal of achieving fully autonomous driving. 

As the FSD fleet’s mileage inches closer to 7 billion, every additional mile contributes both to incremental software refinement and to the broader narrative of how AI‑based autonomy is progressing on public roads, particularly in environments where conventional autonomous systems are challenged.