Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 15.3% higher average benchmark score. Llama 4 Scout offers 19.6M more tokens in context window than Claude 3.5 Haiku. Llama 4 Scout is $4.42 cheaper per million tokens. 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.
Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic's latest advancement in AI technology.
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.
5 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Claude 3.5 Haiku
Llama 4 Scout
Context window and performance specifications
Average performance across 17 common benchmarks
Claude 3.5 Haiku
Llama 4 Scout
Available providers and their performance metrics
Claude 3.5 Haiku
Anthropic
Bedrock
Claude 3.5 Haiku
Llama 4 Scout
Claude 3.5 Haiku
Llama 4 Scout
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together