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Grok-2 vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 7.5% higher average benchmark score. Grok-2 supports multimodal inputs. Overall, Llama 3.1 Nemotron 70B Instruct is the stronger choice for coding tasks.
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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.
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NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
1 month newer
Grok-2
xAI
2024-08-13
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Grok-2
Average Score:34.0%
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Llama 3.1 Nemotron 70B Instruct
Average Score:41.5%(+7.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.1 Nemotron 70B Instruct
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Grok-2
Avg Score:34.0%
Providers:1
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Llama 3.1 Nemotron 70B Instruct
Avg Score:41.5%(+7.5%)
Providers:0