gemma-3-1b-it

AI model Released Mar 12, 2025

Open weights: Yes

Model performance

Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.

gemma-3-1b-it

Tested configuration Radar task score

Unrated

1/4 core tests · not enough evidence

2 benchmark results for this configuration

Scientific reasoning

GPQA Diamond · 25%

Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.

gemma-3-1b-it 19.9^*% Approx. 95% interval: 17.0–22.9% · 2026-08-28

Novel problem solving

Mystery Game Puzzles · 25%

Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.

gemma-3-1b-it Not available

Advanced mathematics

FrontierMath Tiers 1-3 · 25%

Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.

gemma-3-1b-it Not available

Factual answers

SimpleQA Verified · 25%

Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.

gemma-3-1b-it Not available

Competition mathematics

OTIS Mock AIME 2024-2025 · Separate result

Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.

gemma-3-1b-it 1.1^*% Approx. 95% interval: 0.1–2.2% · 2026-08-28

Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.

Run it locally

Inference · memory estimate

gemma-3-1b-it

1.9 GiB checkpoint tensor payload · 1.00 B stored tensor elements · BF16

Stored tensors can include buffers and repeated shared weights. A verified unique parameter count is unavailable. Checkpoint size is not the memory required to run the model.

Capabilities

Open weights: Yes
Model license: gemma
Checkpoint tensor payload: 1.86 GiB

Input modalities

text

Output modalities

text

* Provisional data