Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 9.4% higher average benchmark score. Gemini 2.0 Flash offers 917.5K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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.
2 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 2.0 Flash
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 23 common benchmarks
Gemini 2.0 Flash
Qwen2.5 72B Instruct
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Qwen2.5 72B Instruct
Gemini 2.0 Flash
Qwen2.5 72B Instruct
Gemini 2.0 Flash
Qwen2.5 72B Instruct
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