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Grok-3 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 13.8% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 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.
29 days newer
Grok-3
xAI
2025-02-17
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Grok-3
Average Score:42.9%
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Llama-3.3 Nemotron Super 49B v1
Average Score:56.7%(+13.8%)
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Grok-3
2024-11-17
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-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Llama-3.3 Nemotron Super 49B v1
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Grok-3
Avg Score:42.9%
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:56.7%(+13.8%)
Providers:0