Google model product
Gemma 4 E2B is Google DeepMind's smallest multimodal model with 2.3 billion effective parameters (5.1B with embeddings) and a 128K context window. Supports image, text, and audio inputs. Designed for on-device and edge deployment with Per-Layer Embeddings for efficient inference.
Updated Aug 10, 2026. Default version: Gemma 4 E2B
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 4 E2B.
| BIG-Bench Extra Hard | 0.2 | 6 | 11 | 50.0% | C | |
| MedXpertQA | 0.2 | 11 | 12 | 9.1% | C | |
| AIME 2026 | 0.4 | 17 | 17 | 0.0% | C | |
| MRCR v2 (8-needle) | 0.2 | 19 | 21 | 10.0% | C | |
| t2-bench | 0.3 | 22 | 23 | 4.5% | C | |
| MathVision | 0.5 | 26 | 32 | 19.4% | C | |
| MMMLU | 0.7 | 45 | 49 | 8.3% | C | |
| LiveCodeBench v6 | 0.4 | 47 | 53 | 11.5% | C | |
| MMMU-Pro | 0.4 | 61 | 65 | 6.3% | C | |
| MMLU-Pro | 0.6 | 104 | 129 | 19.5% | C | |
| GPQA | 0.4 | 196 | 233 | 15.9% | 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.
| NanoGPT | gemma-4-e2b-it | global | $0.02 | $0.10 | 131.1K |
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 4 E2B | 14.3 | 5.1B | 131.1K | 8.2K | Yes | Apache 2.0 |
A concise description based on the published model registry.
Gemma 4 E2B is Google DeepMind's smallest multimodal model with 2.3 billion effective parameters (5.1B with embeddings) and a 128K context window. Supports image, text, and audio inputs. Designed for on-device and edge deployment with Per-Layer Embeddings for efficient inference.
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 4 E2B.
Gemma 4 E2B's default version was released on Apr 2, 2026.
No official standard PAYG price is currently available for Gemma 4 E2B. The lowest tracked third-party offer starts at $0.02 input and $0.10 output via NanoGPT.
Gemma 4 E2B is published under Google in the model registry.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
1 published provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen3.5 2B, Pixtral 12B, Qwen2 7B.