Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 54.2% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
3 months newer

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20

Nemotron Nano 9B v2
NVIDIA
2025-08-18
Average performance across 3 common benchmarks

Gemma 3n E2B Instructed LiteRT (Preview)

Nemotron Nano 9B v2
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Nemotron Nano 9B v2
2024-09
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

Nemotron Nano 9B v2

Gemma 3n E2B Instructed LiteRT (Preview)

Nemotron Nano 9B v2