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

Grok-4 Heavy
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

Llama 3.2 3B Instruct
Meta
2024-09-25

Grok-4 Heavy
xAI
2025-07-09
9 months newer
Performance Metrics
Context window and performance specifications

Grok-4 Heavy

Llama 3.2 3B Instruct
Average performance across 1 common benchmarks

Grok-4 Heavy

Llama 3.2 3B Instruct
Performance comparison across key benchmark categories

Grok-4 Heavy

Llama 3.2 3B Instruct
Grok-4 Heavy
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4 Heavy

Llama 3.2 3B Instruct
DeepInfra

Grok-4 Heavy

Llama 3.2 3B Instruct