Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 38.6% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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 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.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Gemma 3 4B
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek R1 Distill Qwen 32B
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemma 3 4B
DeepSeek R1 Distill Qwen 32B
Gemma 3 4B
DeepSeek R1 Distill Qwen 32B
Gemma 3 4B
DeepInfra