Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 2.4% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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.
10 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 2.5 Pro Preview 06-05
Qwen2 7B Instruct
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Qwen2 7B Instruct
Gemini 2.5 Pro Preview 06-05
Qwen2 7B Instruct
Gemini 2.5 Pro Preview 06-05
Qwen2 7B Instruct