Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 78.0% across 10 benchmarks. It excels particularly in Tau2 Telecom (98.0%), MMMLU (89.1%), AIME 2025 (87.0%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

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.

Llama 4 Scout
Meta
2025-04-05

Claude Sonnet 4.5
Anthropic
2025-09-29
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Claude Sonnet 4.5

Llama 4 Scout
Performance Metrics
Context window and performance specifications

Claude Sonnet 4.5

Llama 4 Scout
Average performance across 21 common benchmarks

Claude Sonnet 4.5

Llama 4 Scout
Performance comparison across key benchmark categories

Claude Sonnet 4.5

Llama 4 Scout
Claude Sonnet 4.5
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Claude Sonnet 4.5
Anthropic
ZeroEval

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Claude Sonnet 4.5

Llama 4 Scout