Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 3.7% higher average benchmark score. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
2 months newer

Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26

Llama 4 Scout
Meta
2025-04-05
Context window and performance specifications
Average performance across 3 common benchmarks

Llama 4 Scout

Qwen2.5 VL 7B Instruct
Available providers and their performance metrics

Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita

Llama 4 Scout

Qwen2.5 VL 7B Instruct

Llama 4 Scout

Qwen2.5 VL 7B Instruct
Together

Qwen2.5 VL 7B Instruct