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

Grok-1.5V
xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Grok-1.5V
xAI
2024-04-12

Llama 3.2 3B Instruct
Meta
2024-09-25
5 months newer
Performance Metrics
Context window and performance specifications

Grok-1.5V

Llama 3.2 3B Instruct
Performance comparison across key benchmark categories

Grok-1.5V

Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Grok-1.5V

Llama 3.2 3B Instruct
DeepInfra

Grok-1.5V

Llama 3.2 3B Instruct