Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 7.6% higher average benchmark score. Gemma 3 4B offers 245.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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.
10 months newer

DeepSeek-V2.5
DeepSeek
2024-05-08

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

DeepSeek-V2.5

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

DeepSeek-V2.5

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

DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic

DeepSeek-V2.5

Gemma 3 4B

DeepSeek-V2.5

Gemma 3 4B

Gemma 3 4B
DeepInfra