Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 36.6% higher average benchmark score. DeepSeek-V3 0324 offers 65.5K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $1.36 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, 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.
13 days newer
Gemma 3 4B
2025-03-12
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Gemma 3 4B
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek-V3 0324
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Gemma 3 4B
DeepSeek-V3 0324
Gemma 3 4B
DeepSeek-V3 0324
Gemma 3 4B
DeepInfra