Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 23.0% higher average benchmark score. Qwen2.5 7B Instruct offers 98.3K more tokens in context window than Gemini 1.0 Pro. Qwen2.5 7B Instruct is $1.40 cheaper per million tokens. Overall, Qwen2.5 7B 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 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.
7 months newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Gemini 1.0 Pro
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 1.0 Pro
Qwen2.5 7B Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Qwen2.5 7B Instruct
Gemini 1.0 Pro
Qwen2.5 7B Instruct
Gemini 1.0 Pro
Qwen2.5 7B Instruct
Together