Model Comparison

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

xAI

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.

Meta

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.

xAI

Grok-1.5V

xAI

2024-04-12

Meta

Llama 3.2 3B Instruct

Meta

2024-09-25

5 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-1.5V

Max Context:-
Meta

Llama 3.2 3B Instruct

Larger context
Max Context:256.0K
Parameters:3.2B

Performance comparison across key benchmark categories

xAI

Grok-1.5V

general
+35.2%
77.7%
math
52.8%
Meta

Llama 3.2 3B Instruct

general
42.5%
math
+8.5%
61.3%

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-1.5V

0 providers
Meta

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s
Latency: 0.24ms
xAI

Grok-1.5V

Avg Score:0.0%
Providers:0
Meta

Llama 3.2 3B Instruct

Avg Score:0.0%
Providers:1