Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 24.5% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Qwen2.5-Coder 32B Instruct is $1.82 cheaper per million tokens. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B 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-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K 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-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Gemini 1.0 Pro
Qwen2.5-Coder 32B Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
Gemini 1.0 Pro
Qwen2.5-Coder 32B Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Qwen2.5-Coder 32B Instruct
Gemini 1.0 Pro
Qwen2.5-Coder 32B Instruct
Gemini 1.0 Pro
Qwen2.5-Coder 32B Instruct
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