Google model product
The Gemma 3 1B model is a lightweight, 1-billion-parameter language model by Google, optimized for efficiency on resource-limited devices. At 529MB, it processes text at 2,585 tokens/second with a context window of 128,000 tokens. It supports 35+ languages but handles text-only input, unlike larger multimodal Gemma models. This balance of speed and efficiency makes it ideal for fast text processing on mobile and low-power devices.
Updated Aug 10, 2026. Default version: Gemma 3 1B
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 3 1B.
| Bird-SQL (dev) | 0.1 | 7 | 7 | 0.0% | C | |
| ECLeKTic | 0.0 | 8 | 8 | 0.0% | C | |
| Natural2Code | 0.6 | 8 | 8 | 0.0% | C | |
| BIG-Bench Extra Hard | 0.1 | 11 | 11 | 0.0% | C | |
| FACTS Grounding | 0.4 | 13 | 13 | 0.0% | C | |
| HiddenMath | 0.2 | 13 | 13 | 0.0% | C | |
| Global-MMLU-Lite | 0.3 | 14 | 14 | 0.0% | C | |
| BIG-Bench Hard | 0.4 | 21 | 21 | 0.0% | C | |
| WMT24++ | 0.4 | 22 | 23 | 4.5% | C | |
| MBPP | 0.4 | 37 | 37 | 0.0% | C | |
| SimpleQA | 0.0 | 45 | 46 | 2.2% | C | |
| GSM8k | 0.6 | 46 | 48 | 4.3% | C | |
| IFEval | 0.8 | 53 | 65 | 18.8% | C | |
| MATH | 0.5 | 59 | 71 | 17.1% | C | |
| HumanEval | 0.4 | 73 | 76 | 4.0% | C | |
| LiveCodeBench | 0.0 | 73 | 73 | 0.0% | C | |
| MMLU-Pro | 0.1 | 129 | 129 | 0.0% | C | |
| GPQA | 0.2 | 232 | 233 | 0.4% | 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 3 1B | 2.7 | 1B | N/A | N/A | No | Gemma |
A concise description based on the published model registry.
The Gemma 3 1B model is a lightweight, 1-billion-parameter language model by Google, optimized for efficiency on resource-limited devices. At 529MB, it processes text at 2,585 tokens/second with a context window of 128,000 tokens. It supports 35+ languages but handles text-only input, unlike larger multimodal Gemma models. This balance of speed and efficiency makes it ideal for fast text processing on mobile and low-power devices.
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 3 1B.
Gemma 3 1B's default version was released on Mar 12, 2025.
No official standard PAYG price is currently available for Gemma 3 1B.
Gemma 3 1B 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 ERNIE 4.5, Qwen3 VL 4B, Gemma 3n E2B.