Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Grok-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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-3.3 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.
Grok-2
xAI
2024-08-13
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
7 months newer
Performance Metrics
Context window and performance specifications
Grok-2
Llama-3.3 Nemotron Super 49B v1
Average performance across 1 common benchmarks
Grok-2
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
Grok-2
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Grok-2
xAI
Llama-3.3 Nemotron Super 49B v1
Grok-2
Llama-3.3 Nemotron Super 49B v1