Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Llama-3.3 Nemotron Super 49B v1

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.

Gemma 2 27B

Google

2024-06-27

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

8 months newer

Average performance across 1 common benchmarks

Gemma 2 27B

Average Score:62.6%

Llama-3.3 Nemotron Super 49B v1

+28.7%

Average Score:91.3%

Performance comparison across key benchmark categories

Gemma 2 27B

math

58.1%

code

56.5%

general

70.0%

Llama-3.3 Nemotron Super 49B v1

math

+38.4%

96.6%

code

+34.8%

91.3%

general

+1.8%

71.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

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

Gemma 2 27B

0 providers

Llama-3.3 Nemotron Super 49B v1

0 providers

Gemma 2 27B

Avg Score:62.6%

Providers:0

Llama-3.3 Nemotron Super 49B v1

+28.7%

Avg Score:91.3%

Providers:0