Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-01-10
Gemma 3n E2B
2025-06-26
5 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B
Qwen3-Next-80B-A3B-Instruct
Performance comparison across key benchmark categories
Gemma 3n E2B
Qwen3-Next-80B-A3B-Instruct
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Qwen3-Next-80B-A3B-Instruct
Novita
Gemma 3n E2B
Qwen3-Next-80B-A3B-Instruct