Google model product
Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets.
Updated Aug 12, 2026. Default version: Gemma 3n E2B Instructed LiteRT (Preview)
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Gemma 3n E2B Instructed LiteRT (Preview).
| Codegolf v2.2 | 11.0% | 04 | 4 | 0.0% | C | |
| Global-MMLU | 55.1% | 05 | 5 | 0.0% | C | |
| ECLeKTic | 2.5% | 06 | 8 | 28.6% | C | |
| ARC-E | 75.8% | 07 | 8 | 14.3% | C | |
| Natural Questions | 15.5% | 07 | 7 | 0.0% | C | |
| LiveCodeBench v5 | 18.6% | 09 | 9 | 0.0% | C | |
| PIQA | 78.9% | 09 | 11 | 20.0% | C | |
| Social IQa | 48.8% | 09 | 9 | 0.0% | C | |
| BoolQ | 76.4% | 10 | 10 | 0.0% | C | |
| Global-MMLU-Lite | 59.0% | 12 | 14 | 15.4% | C | |
| HiddenMath | 27.7% | 12 | 13 | 8.3% | C | |
| TriviaQA | 60.8% | 17 | 18 | 5.9% | C | |
| BIG-Bench Hard | 44.3% | 20 | 21 | 5.0% | C | |
| Winogrande | 66.8% | 21 | 22 | 4.8% | C | |
| WMT24++ | 42.7% | 21 | 23 | 9.1% | C | |
| HellaSwag | 72.2% | 23 | 27 | 15.4% | C | |
| DROP | 53.9% | 27 | 30 | 10.3% | C | |
| MGSM | 53.1% | 30 | 31 | 3.3% | C | |
| Include | 38.6% | 31 | 31 | 0.0% | C | |
| MBPP | 56.6% | 31 | 33 | 6.3% | C | |
| ARC-C | 51.7% | 32 | 34 | 6.1% | C | |
| MMLU-ProX | 8.1% | 32 | 32 | 0.0% | C | |
| HumanEval | 66.5% | 61 | 66 | 7.7% | C | |
| LiveCodeBench | 13.2% | 69 | 73 | 5.6% | C | |
| MMLU | 60.1% | 99 | 100 | 1.0% | C | |
| AIME 2025 | 6.7% | 114 | 114 | 0.0% | C | |
| MMLU-Pro | 40.5% | 126 | 129 | 2.3% | C | |
| GPQA | 24.8% | 230 | 234 | 1.7% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for Gemma 3n E2B Instructed LiteRT (Preview). Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no 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.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Gemma 3n E2B Instructed LiteRT (Preview) | 0.0 | 1.9B | N/A | N/A | No | Gemma |
Key information about Gemma 3n E2B LiteRT and its available data.
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.
Data as of 2026-08-11.
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 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 was created by Google.
A context window is not available for the default version.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Pixtral 12B, Gemma 3n E4B, GPT-5.1-Codex-Mini.