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Llama 3.1 Nemotron Nano 8B V1 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 4.4% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
18 days newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Llama 4 Maverick
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:69.3%
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Llama 4 Maverick
Average Score:73.7%(+4.4%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Llama 4 Maverick
7 providers
DeepInfra
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:69.3%
Providers:0
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Llama 4 Maverick
Avg Score:73.7%(+4.4%)
Providers:7