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-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Grok-4
xAI
2025-07-09
3 months newer
Performance Metrics
Context window and performance specifications
Grok-4
Llama-3.3 Nemotron Super 49B v1
Average performance across 2 common benchmarks
Grok-4
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
Grok-4
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Llama-3.3 Nemotron Super 49B v1
Grok-4
Llama-3.3 Nemotron Super 49B v1