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

Grok-1.5
xAI
Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI'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.

Grok-1.5
xAI
2024-03-28

Llama 4 Scout
Meta
2025-04-05
1 year newer
Performance Metrics
Context window and performance specifications

Grok-1.5

Llama 4 Scout
Average performance across 7 common benchmarks

Grok-1.5

Llama 4 Scout
Performance comparison across key benchmark categories

Grok-1.5

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

Grok-1.5

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Grok-1.5

Llama 4 Scout