Model Comparison

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

Gemma 3n E4B Instructed

Google

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.

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.

Gemma 3n E4B Instructed

Google

2025-06-26

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

2 months newer

Performance Metrics

Context window and performance specifications

Gemma 3n E4B Instructed

Larger context

Max Context:64.0K

Parameters:8.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 18 common benchmarks

Gemma 3n E4B Instructed

+42.0%

Average Score:42.0%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Knowledge Cutoff

Training data recency comparison

Gemma 3n E4B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s

Latency: 0.43ms

Qwen3-Next-80B-A3B-Base

0 providers

Gemma 3n E4B Instructed

+42.0%

Avg Score:42.0%

Providers:1

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0