Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 17.4% higher average benchmark score. Gemma 3 12B is $2.50 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, Gemma 3 12B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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.
2 months newer
Gemma 3 12B
2025-03-12
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Gemma 3 12B
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek-R1-0528
Gemma 3 12B
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Gemma 3 12B
DeepSeek-R1-0528
Gemma 3 12B
Gemma 3 12B
DeepInfra