Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 39.7% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than Gemma 3 27B. Gemma 3 27B is $0.97 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
2 months newer

DeepSeek-V3.1
DeepSeek
2025-01-10

Gemma 3 27B
2025-03-12
Cost per million tokens (USD)

DeepSeek-V3.1

Gemma 3 27B
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek-V3.1

Gemma 3 27B
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

Gemma 3 27B

DeepSeek-V3.1

Gemma 3 27B

DeepSeek-V3.1

Gemma 3 27B
DeepInfra
Novita