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

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Qwen2.5 14B Instruct
Alibaba
Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 14B Instruct
Alibaba
2024-09-19

Gemma 3 4B
2025-03-12
5 months newer
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Qwen2.5 14B Instruct
Average performance across 6 common benchmarks

Gemma 3 4B

Qwen2.5 14B Instruct
Performance comparison across key benchmark categories

Gemma 3 4B

Qwen2.5 14B Instruct
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Qwen2.5 14B Instruct

Gemma 3 4B

Qwen2.5 14B Instruct