Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 43.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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
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.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.0 Flash Thinking
2025-01-21
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.0 Flash Thinking
Qwen2.5 7B Instruct
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
Qwen2.5 7B Instruct
Together
Gemini 2.0 Flash Thinking
Qwen2.5 7B Instruct
Gemini 2.0 Flash Thinking
Qwen2.5 7B Instruct