Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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 7B Instruct
Alibaba
2024-09-19
Llama 4 Scout
Meta
2025-04-05
6 months newer
Performance Metrics
Context window and performance specifications
Llama 4 Scout
Qwen2.5-Coder 7B Instruct
Average performance across 5 common benchmarks
Llama 4 Scout
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Llama 4 Scout
Qwen2.5-Coder 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
Qwen2.5-Coder 7B Instruct
Llama 4 Scout
Qwen2.5-Coder 7B Instruct