Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 30.9% higher average benchmark score. Qwen2.5 72B Instruct offers 98.3K more tokens in context window than Gemini 1.0 Pro. Qwen2.5 72B Instruct is $1.25 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
7 months newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Gemini 1.0 Pro
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 1.0 Pro
Qwen2.5 72B Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Qwen2.5 72B Instruct
Gemini 1.0 Pro
Qwen2.5 72B Instruct
Gemini 1.0 Pro
Qwen2.5 72B Instruct
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