Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 3.4% higher average benchmark score. Llama 3.2 3B Instruct offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Llama 3.2 3B Instruct is $0.57 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta'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.
6 days newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 25 common benchmarks
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Qwen2.5 7B Instruct
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Together