Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 8.2% 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, Gemma 3 4B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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 38 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