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Llama 3.1 Nemotron 70B Instruct vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
5 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%
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Mistral Small 3.1 24B Base
Average Score:81.0%(+0.8%)
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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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Llama 3.1 Nemotron 70B Instruct
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:81.0%(+0.8%)
Providers:1