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Llama-3.3 Nemotron Super 49B v1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 35.8% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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Llama-3.3 Nemotron Super 49B v1
Average Score:16.2%
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Phi-3.5-mini-instruct
Average Score:52.0%(+35.8%)
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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-3.3 Nemotron Super 49B v1
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Llama-3.3 Nemotron Super 49B v1
Avg Score:16.2%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:52.0%(+35.8%)
Providers:1