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-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. 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%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. 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's latest advancement in AI technology.
Qwen2.5-Coder 32B 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-Coder 32B Instruct
Performance Metrics
Context window and performance specifications
Llama 3.2 3B Instruct
Qwen2.5-Coder 32B Instruct
Average performance across 5 common benchmarks
Llama 3.2 3B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Llama 3.2 3B Instruct
Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
Llama 3.2 3B Instruct
Qwen2.5-Coder 32B Instruct