Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Grok-4
xAI
2025-07-09
3 months newer
Performance Metrics
Context window and performance specifications
Grok-4
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 3 common benchmarks
Grok-4
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
Grok-4
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Llama 3.1 Nemotron Ultra 253B v1
Grok-4
Llama 3.1 Nemotron Ultra 253B v1