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Gemma 3 - 12B (IT)

Foundation modelGemmaGemma 3

Gemma 3 - 12B (IT)

Release date: 2025-03-12Updated: 2026-07-17 23:18:32.4281,903
Live demoGitHubHugging FaceCompare
Parameters
12B
Context length
128K
Chinese support
Supported
Reasoning ability

Gemma 3 - 12B (IT) is a foundation model from Google Deep Mind, released on 2025-03-12. It accepts text and image input and returns text output. The cataloged parameter count is 12B. The recorded context window is 128K. Cataloged capabilities include Multilingual. The checkpoint is listed under the Gemma Terms Of Use license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemma 3 - 12B (IT)

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
Text, Image → Text
Release date
2025-03-12
Model file size
2GB
MoE architecture
No
Total params / Active params
12B / N/A
Knowledge cutoff
No data
Gemma 3 - 12B (IT)

Open source & experience

Code license
Gemma Terms of Use
Weights license
Gemma Terms of Use- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
https://huggingface.co/google/gemma-3-1b-it
Live demo
No live demo
Gemma 3 - 12B (IT)

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
Gemma 3 - 12B (IT)

API details

API speed
No data
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Learn about pricing modes
Standard
TypeConditionInputOutput
Text-$0.040/ 1M$0.130/ 1M
Gemma 3 - 12B (IT)

Benchmark Results

Gemma 3 - 12B (IT) currently shows benchmark results led by MATH (9 / 42, score 83.80), MMLU Pro (110 / 132, score 60.60), GPQA Diamond (172 / 187, score 40.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

2 evaluations
Benchmark / mode
Score
Rank/total
MMLU Pro
60.60
110 / 132
GPQA Diamond
40.90
172 / 187

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
MATH
83.80
9 / 42

Common Sense

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleQA
6.30
46 / 47

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
24.60
123 / 123
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Gemma 3 - 12B (IT)

Publisher

Google Deep Mind
Google Deep Mind
View publisher details
Gemma 3 - 12B (IT)

Model Overview

Gemma 3 - 12B (IT) is a foundation model from Google Deep Mind, released on 2025-03-12.

It accepts text and image input and produces text output. Its cataloged capabilities include Multilingual. The cataloged parameter count is 12B. The recorded context window is 128K.

The checkpoint is listed under the Gemma Terms Of Use license, with the license link included in the model references. The page records 2 API pricing rules from DeepInfra; current provider pricing and conditions should be checked before deployment. The evaluation section contains 5 cataloged benchmark results with their recorded modes and scores. The page links 2 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Gemma 3 - 12B (IT)

FAQ

What is Gemma 3 - 12B (IT)?

Gemma 3 - 12B (IT) is a foundation model from Google Deep Mind, released on 2025-03-12. It accepts text and image input and returns text output. The cataloged parameter count is 12B. The recorded context window is 128K. Cataloged capabilities include Multilingual. The checkpoint is listed under the Gemma Terms Of Use license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does Gemma 3 - 12B (IT) support?

The current model record lists text and image as input and text as output.

What are the main recorded specifications for Gemma 3 - 12B (IT)?

The cataloged parameter count is 12B. The recorded context window is 128K. Fields without a source-backed value remain undisclosed.

Does Gemma 3 - 12B (IT) have API pricing?

The page records 2 API pricing rules from DeepInfra; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for Gemma 3 - 12B (IT)?

The evaluation section contains 5 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Gemma 3 - 12B (IT) open source?

The checkpoint is listed under the Gemma Terms Of Use license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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