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Llama 4 Maverick vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 5.3% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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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.
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NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
18 days newer
Llama-3.3 Nemotron Super 49B 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 4 Maverick
Average Score:73.7%
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Llama-3.3 Nemotron Super 49B v1
Average Score:79.0%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B 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 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
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Llama 4 Maverick
Avg Score:73.7%
Providers:7
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Llama-3.3 Nemotron Super 49B v1
Avg Score:79.0%(+5.3%)
Providers:0