Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 12.3% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Qwen3 30B A3B. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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%). 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.
Alibaba Cloud / Qwen Team
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
24 days newer
Llama 4 Scout
Meta
2025-04-05
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Llama 4 Scout
Qwen3 30B A3B
Context window and performance specifications
Average performance across 18 common benchmarks
Llama 4 Scout
Qwen3 30B A3B
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
Qwen3 30B A3B
Llama 4 Scout
Qwen3 30B A3B
Together
Qwen3 30B A3B
DeepInfra
Fireworks
Novita