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Grok-4 vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Ultra 253B v1 leads with 3.4% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
3 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Grok-4
Average Score:44.2%
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:47.5%(+3.4%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
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:44.2%
Providers:2
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:47.5%(+3.4%)
Providers:0