Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 12.5% higher average benchmark score. Gemma 3 12B is $1.22 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
2 months newer

DeepSeek-V3
DeepSeek
2024-12-25

Gemma 3 12B
2025-03-12
Cost per million tokens (USD)

DeepSeek-V3

Gemma 3 12B
Context window and performance specifications
Average performance across 5 common benchmarks

DeepSeek-V3

Gemma 3 12B
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemma 3 12B

DeepSeek-V3

Gemma 3 12B

DeepSeek-V3

Gemma 3 12B
DeepInfra