Browse Car Models
Explore all 3,559 car models with NHTSA safety data
3,559 models
| Model | Complaints |
|---|---|
| ALTIMA HYBRID | 166 |
| ALTRA | 1 |
| AMANTI | 353 |
| AMG A35 | 2 |
| AMG C32 | 15 |
| AMG C43 | 74 |
| AMG C55 | 10 |
| AMG C63 | 33 |
| AMG C63 S | 2 |
| AMG C63S | 8 |
| AMG CLA35 | 11 |
| AMG CLA45 | 41 |
| AMG CLK55 | 1 |
| AMG CLK63 | 2 |
| AMG CLS53 | 11 |
| AMG CLS55 | 41 |
| AMG CLS63 | 11 |
| AMG E 53 4MATIC+ WAGON | 4 |
| AMG E43 | 17 |
| AMG E53 | 27 |
| AMG E55 | 399 |
| AMG E63 | 54 |
| AMG E63S | 14 |
| AMG EQE | 8 |
| AMG EQE 4MATIC+ | 1 |
| AMG EQS | 19 |
| AMG EQS 53 | 1 |
| AMG G63 | 20 |
| AMG GLA 35 | 1 |
| AMG GLA35 | 1 |
| AMG GLA45 | 24 |
| AMG GLB35 | 12 |
| AMG GLC43 | 42 |
| AMG GLC43 4MATIC COUPE | 4 |
| AMG GLC63 | 8 |
| AMG GLC63 S | 2 |
| AMG GLE43 | 48 |
| AMG GLE53 | 62 |
| AMG GLE53 4MATIC | 1 |
| AMG GLE63 | 11 |
| AMG GLS63 | 12 |
| AMG GT | 22 |
| AMG GT S | 5 |
| AMG GT43 | 6 |
| AMG GT53 | 6 |
| AMG GT55 | 1 |
| AMG GT63 | 2 |
| AMG ML63 | 8 |
| AMG S63 | 19 |
| AMG S63 4MATIC | 4 |
Methodology
Every model in this browser comes from the same three federal sources used on every detail page: the NHTSA Office of Defects Investigation (ODI) complaints database (consumer-filed, unverified safety reports), the NHTSA recall campaign API (official recall actions), and NHTSA New Car Assessment Program (NCAP) crash-test ratings. Complaint counts reflect raw owner filings and are heavily influenced by fleet size — a high-volume bestseller will accumulate more complaints than a low-volume niche model even at identical defect rates per vehicle. Recall counts reflect what manufacturers were compelled to remedy, not current risk. See the full methodology page for processing steps, data currency, and documented limitations.
More PlainCars Browsers
PlainCars covers more than just model directories. Browse our other entry points:
- Most-complained models (rankings)
- Most-recalled models (rankings)
- Safest models (rankings)
- Browse complaints by state
- Repair-cost CPI trends
Reading complaint counts in context
Complaint volume on its own can be misleading. A best-selling sedan with hundreds of thousands of vehicles on the road will accumulate more raw consumer reports than a low-volume luxury or specialty model, even when the per-vehicle defect rate is similar or lower. When comparing models in this directory, treat complaint count as a starting signal — not a verdict. Look for clusters of complaints around a specific component (transmission, airbag, electrical), check whether NHTSA opened a formal Office of Defects Investigation review, and cross-reference the recall ledger to see if any verified manufacturer action was taken. Models that combine high complaint volume with multiple repeated recalls on the same subsystem carry stronger evidence of an underlying engineering issue than models with isolated reports.
How recall counts are interpreted
Recall numbers reflect the count of distinct manufacturer recall campaigns linked to a given model in the NHTSA Recalls API, deduplicated across years and trims. A high recall count does not always equal high current risk: many recalls are for fully remediable issues (software updates, supplier-side fixes, label changes) and may already have been completed by the time you read this page. Conversely, low recall counts on newer model years can simply reflect the natural lag between vehicle release and the surfacing of long-tail defects. We list recall counts here so you can spot historical patterns; for a specific VIN, always check NHTSA.gov/recalls directly with that VIN entered.
Why we publish this directory
The federal data behind every model card in this browser is fully public and free, but it lives across three separate NHTSA systems — the complaints database, the recall campaign API, and the New Car Assessment Program — each with its own search interface and export format. PlainCars stitches the three together at the model level so that a curious buyer, a journalist, or a fleet manager can see complaints, recalls, and crash ratings on one page without learning three government UIs. We do not editorialize on whether a model is "good" or "bad" — we surface the underlying counts and link straight to NHTSA for the source filings.