Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 54.4% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $1.21 cheaper per million tokens. Gemma 3 4B 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 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
2 months newer

DeepSeek-V3.1
DeepSeek
2025-01-10

Gemma 3 4B
2025-03-12
Cost per million tokens (USD)

DeepSeek-V3.1

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

DeepSeek-V3.1

Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

Gemma 3 4B

DeepSeek-V3.1

Gemma 3 4B

DeepSeek-V3.1

Gemma 3 4B
DeepInfra