LG has been at the forefront in OLED TV technology for over a decade. After launching the world‘s first 55-inch large screen OLED model in 2013, the company has gone on to dominate the global market for OLED televisions.
According to industry analysis firm DSCC, as of Q3 2022 LG holds an impressive 81% share of the global OLED TV market. The company also recently announced that it hit a cumulative 10 million OLED TV sales milestone globally.
The LG OLED TV lineup currently consists of the entry-level B Series, the mid-range C Series focused on by this article and the premium G Series.
We compare LG‘s 2022 C2 OLED TV against the newly announced 2023 C3 model. Which provides better picture, sound and smart features? Is upgrading worthwhile for current C2 owners? We break down the key similarities and differences.
LG C3 vs. C2: Comparison Table
OLED Panel & Display Technology
Both TVs utilize LG‘s advanced self-lit OLED display technology. Unlike LCD screens that require a backlight, OLED pixels directly emit their own light. This allows for perfect black levels and essentially infinite contrast.
Additional OLED panel strengths include exceptional off-angle viewing, extremely fast response times under 1 ms and a wide color gamut. These technical capabilities combine to deliver outstanding picture quality and superb motion clarity.
For the C3, LG has integrated their new Brightness Booster Max technology to increase peak brightness by up to 70%. Combined with anti-glare filter improvements, this helps enhance HDR performance and overall luminosity.
A9 Gen 6 AI Processor
The LG C2 featured the capable Alpha 9 Gen 5 processor. Now for the C3, LG has upgraded to their latest Alpha 9 Gen 6 AI chip. This brings both performance and efficiency gains.
The improved AI processing helps intelligently optimize picture and sound quality on the fly. According to LG‘s internal testing, the Gen 6 chip delivers up to a 20% boost in both brightness and color accuracy over its predecessor.
The Alpha 9 Gen 6 also enhances built-in deep learning algorithms to better upscale lower resolution content. In addition, it provides dynamic tone mapping based on environmental ambiant light levels.
