SKU: 19786085513

Oxrord Diecast 1:76 scale model of the VW Karmann Ghia Lavender/Pearl White

Sale price$11.75 Regular price$13.06
Save 10%

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 13 - Jul 18

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Oxrord Diecast 1:76 scale model of the VW Karmann Ghia Lavender/Pearl WhiteAn iconic VW classic car from the 1960s in 1: 76, the Karmann Ghia with its elegant sloping styling. In real life, the car made its debut in 1953 with a launch in both Frankfurt and Paris. The Karmann Ghia was in production from 1955 until 1974 when over 445,000 were built first at the Ghia Works and then at the VW Osnabru? ck plant in West Germany. During all that time, it remained virtually unchanged in design. It was the result of a joint

An iconic VW classic car from the 1960s in 1:76, the Karmann Ghia with its elegant sloping styling. In real life, the car made its debut in 1953 with a launch in both Frankfurt and Paris. The Karmann Ghia was in production from 1955 until 1974 when over 445,000 were built first at the Ghia Works and then at the VW Osnabru?ck plant in West Germany. During all that time, it remained virtually unchanged in design. It was the result of a joint collaboration between Germany’s Wilhelm Karmann and Luigi Segre and his colleagues of the Italian Carrozzeria Ghia Company. The new prototype emerged in 1953, based on the existing VW Beetle chassis. Karmann loved the design which he took to VW with a view to production. The Karmann Ghia was available as either a 2-door 2+2 convertible or 2-door coupe? sports car, although towards the end of its production life it became purely a two-seater model. 

The Karmann Ghia was marketed as a practical and stylish 2+2 rather than a true sports car. The detail that went into its production included butt-ended body panels, hand-shaped and smoothed with English pewter, a labour intensive process which – like other high end manufactured cars – was reflected in the price – around $2250 US dollars at the time. In today’s market you may be able to pick one up for around £26,000 PLUS!

This 1:76 scale model comes in Lavender/Pearl White and is on a plinth, with a clear case lid and Oxford Automobile wrap.

Dimensions and Weights

Packed: 8.6cm x 5.3cm x 2.5cm ( L x W x H )

Unpacked: 5.4cm 2.1cm 1.7cm ( L x W x H )

Dimension excludes shipping carton. Packed item comes on plinth with case.

Scale

1:76 scale means that this is 76 times smaller than the full sized vehicle(s)

For a much more detailed explanation of scale and the history please follow this link.

More VW's

For more Oxford Diecast 1:76 scale VW's follow this link

For more Volkswagens follow this link

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: 19786085513

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.3 ★★★★★
Based on 1575 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
J
Verified Purchase
Jason Bolton
Louisville, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Bozeman, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Grantham, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Dallas, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024
K
Verified Purchase
K. Wain
Lexington, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026

recommand products