Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.2 3B Instruct
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.
Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. 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%). The model shows particular specialization in math tasks with an average performance of 83.5%. 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's latest advancement in AI technology.
Qwen2.5 7B Instruct
Alibaba
2024-09-19
Llama 3.2 3B Instruct
Meta
2024-09-25
6 days newer
Pricing Comparison
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Average performance across 4 common benchmarks
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Qwen2.5 7B Instruct
Together
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct