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Audi S5

Two generations on sale. The 1st gen 8T is the value pick; the 2nd gen F5 is the fresh-buy target.

Model strength

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Focus

Weighs every axis evenly. Changes the weighting, not the numbers.

▲ 2 axes vary by variant (price, running cost) — see variant pages.

Positioning vs segment

Where does Audi S5 sit?

10 scoreable luxury sedans · 24 more in segment lack enough listings to score

SAFE BETS — Strong brand + strong resale. Lowest-anxiety pick.HIDDEN GEMS — Market values these higher than the brand reputation suggests — buyers know something the composite doesn't.BARGAIN BUYS — Well-built but depreciates fast — buy cheap, don't resell soon.HIGH RISK — Soft on both axes — proceed with care.SAFE BETSHIDDEN GEMSBARGAIN BUYSHIGH RISKC-ClassE-ClassCla-Class5 series3 seriesA37 seriesEs4 seriesM3brand reliability →holds value →5095090

Tap any dot on the chart to see its scores.

Brand reliability
Consumer-survey composite — JD Power · WhatCar · Consumer Reports. Same score for every variant of a given make.
Resale strength
100 − 3× annualised tangible-decay (COE-stripped). Fitted from each variant's asking-price-by-age regression then averaged at model level.
Peer set
Every same-segment model with ≥5 active PARF listings whose variants fit a depreciation curve. Practicality isn't plotted — it's a body-shape constant within the segment, so it would be the same for every dot.
Quadrants
The crosshair marks the segment median on each axis. Top-right (Safe Bets) is strong on both; top-left (Hidden Gems) holds value above what the brand reputation suggests; bottom-right (Bargain Buys) is well-built but depreciates fast — buy cheap; bottom-left (High Risk) is soft on both.

Generation

2nd gen F5 (2016-present) · Reg 2017–2019

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Asking
S$89k–149k
Median
S$120k
Decay
No widely-documented gen-defining issue at the level we curate for. Let condition + service book decide; the disclosure below has the deeper advice.

Trims in this generation

Pick a trim to see its score, deal target, and pre-purchase checklist.

Generation

1st gen 8T (2007-2016) · Reg 2009–2012

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Verdict

Cult-buy performance trim of the A5 8T — V8 4.2L (BNS/CFSA) on pre-2012 cars, then 3.0 TFSI EA837 supercharged V6 (post-2012). The V8 4.2L is the bulletproof cult engine (one of Audi's last great NA V8s — same family as RS4 B7). 3.0 TFSI EA837 introduces water pump + supercharger oil leak patterns. 7-speed DSG (DL501 wet 7-speed) on EA837 cars is well-regarded. S5 chassis durability is good when serviced; aged-car items dominate at 9-18 years now.
Asking
S$53k–69k
Median
S$62k
Decay

What's good

  • Pre-2012 V8 4.2L (BNS/CFSA) with documented service — one of Audi's last great NA V8s (same family as RS4 B7). Bulletproof when serviced; the cult-buy V8 era of the S5. SG penalty: higher fuel + road tax.
  • Post-2012 3.0 TFSI EA837 with documented supercharger + water pump receipts — the supercharger oil leak + water pump failures are documented; receipts for both convert the recurring concerns to non-issues. Same DSG (DL501) discipline as broader Audi family.

What to watch

  • 3.0 TFSI (EA837) leaking supercharger oil or losing coolant — documented supercharger seal + water pump failure patterns. S$3-5k for proper repair; budget if undocumented.
  • V8 4.2L with a history of rod-bearing knock or low oil pressure — same scheduled-maintenance item as the broader V8 lineage. Catastrophic when bearings fail; full rebuild well into 5 figures. Walk unless heavily discounted with paperwork.

Trims in this generation

Pick a trim to see its score, deal target, and pre-purchase checklist.

Common questions about the Audi S5

Is the Audi S5 reliable?
In our read, the Audi S5 scores 58 out of 100 on brand reliability. That still varies by generation and how the individual car was looked after, so always check the service history before you commit.
Where do these Audi S5 figures come from?
They're worked out from current used-Audi S5 listings in Singapore — asking prices, mileage and registration years — not past transaction prices. We refresh them regularly, and we flag thin data rather than guess.