Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 4.3% higher average benchmark score. Qwen3 32B offers 192.0K more tokens in context window than Gemma 3n E4B Instructed. Qwen3 32B is $59.60 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Qwen3 32B
Context window and performance specifications
Average performance across 25 common benchmarks
Gemma 3n E4B Instructed
Qwen3 32B
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Qwen3 32B
Gemma 3n E4B Instructed
Qwen3 32B
Gemma 3n E4B Instructed
Qwen3 32B
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