Google model product
Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. It features innovations like Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture for reduced compute and memory. These models handle audio, text, and visual data, though this E4B preview currently supports text and vision input. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models, and is licensed for responsible commercial use.
Updated Aug 10, 2026. Default version: Gemma 3n E2B Instructed LiteRT (Preview)
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Gemma 3n E2B Instructed LiteRT (Preview).
| Codegolf v2.2 | 0.1 | 4 | 4 | 0.0% | C | |
| Global-MMLU | 0.6 | 5 | 5 | 0.0% | C | |
| ECLeKTic | 0.0 | 6 | 8 | 28.6% | C | |
| ARC-E | 0.8 | 7 | 8 | 14.3% | C | |
| Natural Questions | 0.2 | 7 | 7 | 0.0% | C | |
| LiveCodeBench v5 | 0.2 | 9 | 9 | 0.0% | C | |
| PIQA | 0.8 | 9 | 11 | 20.0% | C | |
| Social IQa | 0.5 | 9 | 9 | 0.0% | C | |
| BoolQ | 0.8 | 10 | 10 | 0.0% | C | |
| Global-MMLU-Lite | 0.6 | 12 | 14 | 15.4% | C | |
| HiddenMath | 0.3 | 12 | 13 | 8.3% | C | |
| TriviaQA | 0.6 | 17 | 18 | 5.9% | C | |
| BIG-Bench Hard | 0.4 | 20 | 21 | 5.0% | C | |
| Winogrande | 0.7 | 21 | 22 | 4.8% | C | |
| WMT24++ | 0.4 | 21 | 23 | 9.1% | C | |
| HellaSwag | 0.7 | 23 | 27 | 15.4% | C | |
| DROP | 0.5 | 27 | 30 | 10.3% | C | |
| MGSM | 0.5 | 30 | 31 | 3.3% | C | |
| Include | 0.4 | 31 | 31 | 0.0% | C | |
| ARC-C | 0.5 | 32 | 34 | 6.1% | C | |
| MMLU-ProX | 0.1 | 32 | 32 | 0.0% | C | |
| MBPP | 0.6 | 34 | 37 | 8.3% | C | |
| HumanEval | 0.7 | 68 | 76 | 10.7% | C | |
| LiveCodeBench | 0.1 | 69 | 73 | 5.6% | C | |
| MMLU | 0.6 | 99 | 100 | 1.0% | C | |
| AIME 2025 | 0.1 | 114 | 114 | 0.0% | C | |
| MMLU-Pro | 0.4 | 126 | 129 | 2.3% | C | |
| GPQA | 0.2 | 229 | 233 | 1.7% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Gemma 3n E2B Instructed LiteRT (Preview) | 8.3 | 1.9B | N/A | N/A | No | Gemma |
A concise description based on the published model registry.
Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. It features innovations like Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture for reduced compute and memory. These models handle audio, text, and visual data, though this E4B preview currently supports text and vision input. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models, and is licensed for responsible commercial use.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Gemma 3n E2B LiteRT.
Gemma 3n E2B LiteRT's default version was released on May 20, 2025.
No official standard PAYG price is currently available for Gemma 3n E2B LiteRT.
Gemma 3n E2B LiteRT is published under Google in the model registry.
The current registry does not publish a context window for the default version.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
Nearby ranked alternatives include Qwen3 VL 8B, GPT-3.5-Turbo, GPT-4.1-nano.