Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 14.7% higher average benchmark score. Gemma 3 12B offers 245.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, Gemma 3 12B 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 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.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
DeepSeek-V2.5
Gemma 3 12B
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek-V2.5
Gemma 3 12B
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Gemma 3 12B
DeepSeek-V2.5
Gemma 3 12B
Gemma 3 12B
DeepInfra