Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 47.4% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Gemma 3 12B
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek R1 Distill Qwen 32B
Gemma 3 12B
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemma 3 12B
DeepSeek R1 Distill Qwen 32B
Gemma 3 12B
DeepSeek R1 Distill Qwen 32B
Gemma 3 12B
DeepInfra