+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-2 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Grok-2 leads with 3.3% higher average benchmark score. Grok-2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
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.
7 months newer
Grok-2
xAI
2024-08-13
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
+
+
+
+
Grok-2
Average Score:43.7%(+3.3%)
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Average Score:40.5%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
+
+
+
+
Grok-2
Avg Score:43.7%(+3.3%)
Providers:1
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Avg Score:40.5%
Providers:0