Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 3.9% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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.
2 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Llama 3.2 90B Instruct
Meta
2024-09-25
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 3.2 90B Instruct
Qwen2 7B Instruct
Available providers and their performance metrics
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together
Llama 3.2 90B Instruct
Qwen2 7B Instruct
Llama 3.2 90B Instruct
Qwen2 7B Instruct
Qwen2 7B Instruct