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Grok-4 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 10.4% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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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.
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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.
3 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Grok-4
Average Score:36.8%
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Llama-3.3 Nemotron Super 49B v1
Average Score:47.2%(+10.4%)
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Grok-4
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-4
2 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Grok-4
Avg Score:36.8%
Providers:2
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Llama-3.3 Nemotron Super 49B v1
Avg Score:47.2%(+10.4%)
Providers:0