What are the key differences between Gemma and DeepSeek-V3?

Compare Gemma and DeepSeek-V3 side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Gemma and DeepSeek-V3 scored?

Gemma has an AI score of 7.6/10 and DeepSeek-V3 has an AI score of 9.0/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Gemma vs DeepSeek-V3 2026 - Compared

Gemma

DeepSeek-V3

WINNER DeepSeek-V3

DeepSeek-V3 edges ahead with a score of 9.0/10 compared to 7.6/10 for Gemma. While both are highly rated in their respec...

Gemma

7.55 Good

Model Get Gemma open_in_new

emoji_events WINNER

DeepSeek-V3

9.02 Excellent

Model Get DeepSeek-V3 open_in_new

psychology AI Verdict

DeepSeek-V3 edges ahead with a score of 9.0/10 compared to 7.6/10 for Gemma. While both are highly rated in their respective fields, DeepSeek-V3 demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: DeepSeek-V3

verified Confidence: Low

Ready to decide? Get DeepSeek-V3 arrow_forward

description Overview

Gemma

Gemma is a family of open-weight large language models developed by Google DeepMind and released in February 2024. The models are built using the same research and technology as the proprietary Gemini models, but are provided as smaller, openly available variants. The initial release included two sizes: a 2-billion-parameter model and a 7-billion-parameter model, both designed to run efficiently o...

DeepSeek-V3

DeepSeek-V3 is a large language model released by the Chinese AI company DeepSeek in late 2024. It is built as a Mixture-of-Experts (MoE) model with a total of 671 billion parameters, of which only 37 billion are activated per token. The model was trained efficiently using a specialized architecture and has demonstrated benchmark performance competitive with other leading closed and open-weight mo...