Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 14.4% higher average benchmark score. Gemma 3 4B offers 122.9K more tokens in context window than Qwen2.5 7B Instruct. Gemma 3 4B is $0.54 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 4B
Qwen2.5 7B Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Qwen2.5 7B Instruct
Gemma 3 4B
Qwen2.5 7B Instruct
Gemma 3 4B
Qwen2.5 7B Instruct
Together