Google model product
Gemma 3 1B
The Gemma 3 1B model is a lightweight, 1-billion-parameter language model by Google, optimized for efficiency on resource-limited devices.
Updated Aug 12, 2026. Default version: Gemma 3 1B
LLMBoard score0.0Gemma 3 1B
Coverage100%18 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable
Gemma 3 1B Specifications
Technical details for the model's default version.
- Version
- Gemma 3 1B
- Released
- Mar 12, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 1B
- Context window
- N/A
- Max output
- N/A
- Inputs
- text
- Outputs
- text
- Open weights
- No
- License
- Gemma
Gemma 3 1B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Gemma 3 1B Benchmark Results
Benchmark scores for Gemma 3 1B.
| Bird-SQL (dev) | 6.4% | 07 | 7 | 0.0% | C | |
| ECLeKTic | 1.4% | 08 | 8 | 0.0% | C | |
| Natural2Code | 56.0% | 08 | 8 | 0.0% | C | |
| BIG-Bench Extra Hard | 7.2% | 11 | 11 | 0.0% | C | |
| FACTS Grounding | 36.4% | 13 | 13 | 0.0% | C | |
| HiddenMath | 15.8% | 13 | 13 | 0.0% | C | |
| Global-MMLU-Lite | 34.2% | 14 | 14 | 0.0% | C | |
| BIG-Bench Hard | 39.1% | 21 | 21 | 0.0% | C | |
| WMT24++ | 35.9% | 22 | 23 | 4.5% | C | |
| MBPP | 35.2% | 33 | 33 | 0.0% | C | |
| SimpleQA | 2.2% | 45 | 46 | 2.2% | C | |
| GSM8k | 62.8% | 46 | 48 | 4.3% | C | |
| IFEval | 80.2% | 53 | 65 | 18.8% | C | |
| MATH | 48.0% | 59 | 71 | 17.1% | C | |
| HumanEval | 41.5% | 64 | 66 | 3.1% | C | |
| LiveCodeBench | 1.9% | 73 | 73 | 0.0% | C | |
| MMLU-Pro | 14.7% | 129 | 129 | 0.0% | C | |
| GPQA | 19.2% | 233 | 234 | 0.4% | C |
Gemma 3 1B Arena Results
Preference and agent-evaluation results for the default version.
No Arena results
The default version does not have a matching Arena result yet.
Gemma 3 1B Runtime Performance
Provider-specific output speed and catalog latency for Gemma 3 1B. Runtime does not affect the capability score.
No runtime data
Browse runtime rankingsNo 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.
Gemma 3 1B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- N/A
- Tracked offerings
- 0
No provider prices
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.
Gemma 3 1B Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
| Gemma 3 1B | 0.0 | 1B | N/A | N/A | No | Gemma |
What is Gemma 3 1B?
Key information about Gemma 3 1B and its available data.
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.
Data as of 2026-08-11.
Gemma 3 1B vs nearby models
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FAQ
Common questions about Gemma 3 1B.
When was Gemma 3 1B released?
Gemma 3 1B's default version was released on Mar 12, 2025.
How much does Gemma 3 1B cost?
No official standard PAYG price is currently available for Gemma 3 1B.
Who created Gemma 3 1B?
Gemma 3 1B was created by Google.
What is the context window for Gemma 3 1B?
A context window is not available for the default version.
Is Gemma 3 1B open weight?
No. The default version is not marked as having publicly available weights.
How many API providers offer Gemma 3 1B?
No provider offering is currently linked to the default version.
What models should I compare Gemma 3 1B with?
Nearby ranked alternatives include Grok 1.5, Gemma 2 9B, Command R+.