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

Claude Opus 4.1
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). 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 Opus 4.1
Anthropic
2025-08-05
4 months newer
Performance Metrics
Context window and performance specifications

Claude Opus 4.1

Llama 4 Scout
Average performance across 1 common benchmarks

Claude Opus 4.1

Llama 4 Scout
Performance comparison across key benchmark categories

Claude Opus 4.1

Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4.1

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Claude Opus 4.1

Llama 4 Scout