Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. 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.

Google

Gemma 3n E4B

Google

2025-06-26

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

2 months newer

Average performance across 11 common benchmarks

Google

Gemma 3n E4B

+64.6%
Average Score:64.6%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Average Score:0.0%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B

0 providers
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

0 providers
Google

Gemma 3n E4B

+64.6%
Avg Score:64.6%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%
Providers:0