Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 39.8% higher average benchmark score. Gemini 2.5 Flash is available on 2 providers. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemini 2.5 Flash
2025-05-20
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 2.5 Flash
QvQ-72B-Preview
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
QvQ-72B-Preview
Gemini 2.5 Flash
QvQ-72B-Preview
QvQ-72B-Preview