Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 23.0% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. DeepSeek R1 Distill Qwen 32B is $59.70 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Gemma 3n E4B Instructed 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 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek R1 Distill Qwen 32B
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemma 3n E4B Instructed
DeepSeek R1 Distill Qwen 32B
Gemma 3n E4B Instructed
DeepSeek R1 Distill Qwen 32B
Gemma 3n E4B Instructed
Together