SKU: 30546661002

2012-2015 BMW 7 Series F01 F02 F03 F04 740d 3.0 Saloon Engine Oil Cooler Filter 11428507697

$70.99 $78.88
Save 10%
No.2 Bestseller on sm10m.ch >

Pay in installments of $19.72 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

2012-2015 BMW 7 Series F01 F02 F03 F04 740d 3.0 Saloon Engine Oil Cooler Filter 1142850769711428507697 Engine Oil Cooler Filter Fit For BMW 1 3 4 5 SERIES X1 X3 X5 Feature: 1: According to the original factory specifications,perfect match for the original car. 2: Own different test machines to design exact accurate parameter for our products. All items were tested for performance. 3: Made by high quality material, lightweight, anti rust, colorfast and durable. 4: Aftermarket product with premium quality. 5: Stable performance, high

11428507697 Engine Oil Cooler Filter Fit For BMW 1 3 4 5 SERIES X1 X3 X5

Feature:
1: According to the original factory specifications,perfect match for the original car.
2: Own different test machines to design exact accurate parameter for our products.All items were tested for performance.
3: Made by high quality material, lightweight, anti-rust, colorfast and durable.
4: Aftermarket product with premium quality.
5: Stable performance, high reliability,suitable for replacing your broken one.

Specifics:
Condition: 100% Brand New
Material: Metal
Manufacturer Part Number: 11428507685, 11428507694, 11428507697, 11428516396, 11428580680, 11428580681, 11428580682, 7800620, 8507626, 8507627, 8507683, 8507685, 8507694, 8507697, 8516396, 8580680, 8580681, 8580682, 9197038, 9904526, 9906123
Interchange Part Number: 11428507697
Other Part Number: 11428507685
Type: Engine Oil Cooler Filter
Fitment Type: Direct Replacement

Fitment:
Manufacturer Model Series Year Type Engine Body Style
Alpina XD3 F25 2013-2018 BITURBO AWD 3.0 SUV
BMW 1 Series F20 2012-2015 116d 1.6 Hatch
1 Series F20 2011-2015 116d 2.0 Hatch
1 Series F20 2011-2019 118d 2.0 Hatch
1 Series F20 2013-2015 118d xDrive 2.0 Hatch
1 Series F20 2011-2019 120d 2.0 Hatch
1 Series F20 2012-2015 120d xDrive 2.0 Hatch
1 Series F20 2012-2019 125d 2.0 Hatch
1 Series F21 2012-2022 114d 1.6 Hatch
1 Series F21 2011-2022 116d 1.6 Hatch
1 Series F21 2012-2022 120d 2.0 Hatch
1 Series F21 2011-2015 125d 2.0 Hatch
2 Series F22,F87 2014-2015 218d 2.0 Coupe
2 Series F22,F87 2012-2014 220d 2.0 Coupe
2 Series F22,F87 2014-2022 225d 2.0 Coupe
3 Series E90 2009-2011 316d 2.0 Saloon
3 Series E90 2007-2011 318d 2.0 Saloon
3 Series E90 2004-2011 320d 2.0 Saloon
3 Series E90 2008-2011 320d xDrive 2.0 Saloon
3 Series E91 2009-2012 316d 2.0 Estate
3 Series E91 2007-2012 318d 2.0 Estate
3 Series E91 2005-2012 320d 2.0 Estate
3 Series E91 2009-2012 320d xDrive 2.0 Estate
3 Series E92 2007-2013 320d 2.0 Coupe
3 Series E92 2010-2013 320d xDrive 2.0 Coupe
3 Series E93 2010-2013 320d 2.0 Convertible
3 Series F30,F80 2012-2018 316d 2.0 Saloon
3 Series F30,F80 2012-2018 318d 2.0 Saloon
3 Series F30,F80 2013-2015 318d xDrive 2.0 Saloon
3 Series F30,F80 2011-2018 320d 2.0 Saloon
3 Series F30,F80 2012-2018 320d xDrive 2.0 Saloon
3 Series F30,F80 2013-2016 325d 2.0 Saloon
3 Series F30,F80 2012-2018 330d 3.0 Saloon
3 Series F30,F80 2013-2018 330d xDrive 3.0 Saloon
3 Series F30,F80 2013-2018 335d xDrive 3.0 Saloon
3 Series F31 2012-2019 316d 2.0 Estate
3 Series F31 2012-2019 318d 2.0 Estate
3 Series F31 2013-2015 318d xDrive 2.0 Estate
3 Series F31 2012-2019 320d 2.0 Estate
3 Series F31 2013-2015 320d xDrive 2.0 Estate
3 Series F31 2013-2016 325d 2.0 Estate
3 Series F31 2012-2019 330d 3.0 Estate
3 Series F31 2013-2019 330d xDrive 3.0 Estate
3 Series F31 2013-2019 335d xDrive 3.0 Estate
3 Series F34 2013-2015 318d 2.0 Hatch
3 Series F34 2013-2015 320d 2.0 Hatch
3 Series F34 2013-2015 320d xDrive 2.0 Hatch
3 Series F34 2013-2016 325d 2.0 Hatch
3 Series F34 2014-2022 330d 3.0 Hatch
3 Series F34 2014-2022 330d xDrive 3.0 Hatch
3 Series F34 2014-2022 335d xDrive 3.0 Hatch
4 Series F32,F82 2013-2015 420d 2.0 Coupe
4 Series F32,F82 2013-2015 420d xDrive 2.0 Coupe
4 Series F32,F82 2014-2016 425d 2.0 Coupe
4 Series F32,F82 2013-2022 430d 3.0 Coupe
4 Series F32,F82 2014-2022 430d xDrive 3.0 Coupe
4 Series F32,F82 2013-2020 435d xDrive 3.0 Coupe
4 Series F33,F83 2013-2022 420d 2.0 Convertible
4 Series F33,F83 2014-2016 425d 2.0 Convertible
4 Series F33,F83 2014-2022 430d 3.0 Convertible
4 Series F33,F83 2014-2022 435d xDrive 3.0 Convertible
4 Series F36 2014-2020 418d 2.0 Coupe
4 Series F36 2014-2020 420d 2.0 Coupe
4 Series F36 2014-2020 420d xDrive 2.0 Coupe
4 Series F36 2014-2022 430d 3.0 Coupe
4 Series F36 2014-2022 430d xDrive 3.0 Coupe
4 Series F36 2014-2022 435d xDrive 3.0 Coupe
5 Series F07 2011-2017 520d 2.0 Hatch
5 Series F07 2012-2017 530d 3.0 Hatch
5 Series F07 2012-2017 530d xDrive 3.0 Hatch
5 Series F07 2012-2017 535d 3.0 Hatch
5 Series F07 2012-2017 535d xDrive 3.0 Hatch
5 Series F10 2013-2016 518d 2.0 Saloon
5 Series F10 2010-2016 520d 2.0 Saloon
5 Series F10 2013-2016 520d xDrive 2.0 Saloon
5 Series F10 2011-2016 525d 2.0 Saloon
5 Series F10 2011-2016 525d xDrive 2.0 Saloon
5 Series F10 2010-2016 530d 3.0 Saloon
5 Series F10 2011-2016 530d xDrive 3.0 Saloon
5 Series F10 2011-2016 535d 3.0 Saloon
5 Series F10 2011-2016 535d xDrive 3.0 Saloon
5 Series F11 2013-2017 518d 2.0 Estate
5 Series F11 2010-2017 520d 2.0 Estate
5 Series F11 2013-2017 520d xDrive 2.0 Estate
5 Series F11 2011-2017 525d 2.0 Estate
5 Series F11 2013-2017 525d xDrive 2.0 Estate
5 Series F11 2011-2017 530d 3.0 Estate
5 Series F11 2011-2017 530d xDrive 3.0 Estate
5 Series F11 2011-2017 535d 3.0 Estate
5 Series F11 2011-2017 535d xDrive 3.0 Estate
6 Series F06 2012-2018 640d 3.0 Coupe
6 Series F06 2013-2018 640d xDrive 3.0 Coupe
6 Series F12 2011-2018 640d 3.0 Convertible
6 Series F12 2012-2018 640d xDrive 3.0 Convertible
6 Series F13 2011-2017 640d 3.0 Coupe
6 Series F13 2012-2017 640d xDrive 3.0 Coupe
7 Series F01,F02,F03,F04 2012-2015 730d 3.0 Saloon
7 Series F01,F02,F03,F04 2011-2015 730d xDrive 3.0 Saloon
7 Series F01,F02,F03,F04 2012-2015 740d 3.0 Saloon
7 Series F01,F02,F03,F04 2012-2015 740d xDrive 3.0 Saloon
X1 E84 2012-2015 sDrive 16 d 2.0 SUV
X1 E84 2009-2015 sDrive 18 d 2.0 SUV
X1 E84 2012-2015 sDrive 20 d 2.0 SUV
X1 E84 2009-2015 xDrive 18 d 2.0 SUV
X1 E84 2012-2015 xDrive 20 d 2.0 SUV
X1 E84 2009-2015 xDrive 25 d 2.0 SUV
X3 F25 2012-2014 sDrive 18 d 2.0 SUV
X3 F25 2010-2017 xDrive 20 d 2.0 SUV
X3 F25 2011-2017 xDrive 30 d 3.0 SUV
X3 F25 2011-2017 xDrive 35 d 3.0 SUV
X4 F26 2014-2018 xDrive 30 d 3.0 SUV
X4 F26 2014-2018 xDrive 35 d 3.0 SUV
X5 F15,F85 2013-2018 sDrive 25 d 2.0 SUV
X5 F15,F85 2013-2015 xDrive 25 d 2.0 SUV
X5 F15,F85 2014-2018 xDrive 25 d 3.0 SUV
X5 F15,F85 2013-2018 xDrive 30 d 3.0 SUV
X5 F15,F85 2013-2018 xDrive 40 d 3.0 SUV
X6 F16,F86 2014-2019 xDrive 30 d 3.0 SUV
X6 F16,F86 2014-2019 xDrive 40 d 3.0 SUV
Mini Mini R56 2010-2013 Cooper D 1.6 Hatch
Mini R56 2011-2013 Cooper D 2.0 Hatch
Mini R56 2011-2013 Cooper SD 2.0 Hatch
Mini R56 2010-2013 One D 1.6 Hatch
Mini R57 2009-2013 Cooper D 1.6 Convertible
Mini R57 2011-2015 Cooper D 2.0 Convertible
Mini R57 2008-2010 Cooper S 1.6 Convertible
Mini R57 2009-2015 Cooper SD 2.0 Convertible
Mini R58 2010-2015 Cooper SD 2.0 Coupe
Mini R59 2011-2015 Cooper SD 2.0 Convertible
Mini Clubman R55 2011-2014 Cooper D 2.0 Estate
Mini Clubman R55 2010-2014 Cooper D 1.6 Estate
Mini Clubman R55 2011-2014 Cooper SD 2.0 Estate
Mini Clubman R55 2010-2014 One D 1.6 Estate
Mini Clubvan R55 2012-2014 Cooper D 1.6 Estate Van
Mini Clubvan R55 2012-2014 Cooper D 2.0 Estate Van
Mini Countryman R60 2010-2016 Cooper D 1.6 Estate
Mini Countryman R60 2011-2016 Cooper D 2.0 Estate
Mini Countryman R60 2010-2016 Cooper D ALL4 1.6 Estate
Mini Countryman R60 2011-2016 Cooper D ALL4 2.0 Estate
Mini Countryman R60 2011-2016 Cooper SD 2.0 Estate
Mini Countryman R60 2011-2016 Cooper SD ALL4 2.0 Estate
Mini Countryman R60 2010-2016 One D 1.6 Estate
Paceman R61 2012-2016 Cooper D 1.6 Coupe
Paceman R61 2012-2016 Cooper D ALL4 1.6 Coupe
Paceman R61 2012-2016 Cooper D ALL4 2.0 Coupe
Paceman R61 2012-2016 Cooper SD 2.0 Coupe
Paceman R61 2012-2016 Cooper SD ALL4 2.0 Coupe
Toyota Auris _E18_ 2015-2018 1.6 D4-D 1.6 Hatch
Auris _E18_ 2015-2018 1.6 D4-D 1.6 Estate
Avensis _T27_ 2015-2018 1.6 D4-D 1.6 Estate
Avensis _T27_ 2015-2018 1.6 D4-D 1.6 Saloon
Avensis _T27_ 2015-2018 2.0 D-4D 2.0 Estate
Avensis _T27_ 2015-2018 2.0 D-4D 2.0 Saloon
RAV4 FWD IV _A4_ 2015-2018 2.0 D 2.0 SUV
Verso _R2_ 2013-2018 1.6 D4-D 1.6 MPV

***If you are not sure, please provide vin for us

Package Include:
1 x Engine Oil Cooler Filter
High Quality, Strictly tested.
(Instruction is not inclued!)

Note:
1.Please check the description or use the year/make/model check finder and replace part numbers to confirm the compatibility before purchasing.
2.Professional installation is recommended.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 30546661002

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.0 ★★★★★
Based on 9 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
N
Nader
Phoenix, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Natrona Heights, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Boise, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Natrona Heights, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Carnegie, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

recommand products

Custom Dry Branches Jacket
36.99
Husky Towing 69550C Round Tube 2 Inch Receiver 4000 LB Weight Carrying Cap/ 600 Tongue
155.00
HKM-119507 White Lettered Scarf for Dogs - Casual Accessory for Weddings and Valentine's Day, Neck Size 25-48CM
66.99
Custom Vegas Gold White Solid Colour Football Jersey
25.99
Custom Abstract Graffiti Jacket
36.99