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Gemma 3-270M

Foundation modelGemmaGemma 3

Gemma 3-270M

Release date: 2025-08-14Updated: 2026-07-17 21:57:42.0982,837
Live demoGitHubHugging FaceCompare
Parameters
200M
Context length
128K
Chinese support
Supported
Reasoning ability

Gemma 3-270M is a foundation model from Google Deep Mind, released on 2025-08-14. It accepts text and image input and returns text output. The cataloged parameter count is 200M, with 300M active parameters per inference. The recorded context window is 128K, and the recorded maximum output is 32K. 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 3-270M

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
32K tokens
Model type
Foundation model
Modality (in / out)
Text, Image → Text
Release date
2025-08-14
Model file size
536MB
MoE architecture
Yes
Total params / Active params
200M / 300M
Knowledge cutoff
No data
Gemma 3-270M

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-3-270m
Live demo
No live demo
Gemma 3-270M

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
Gemma 3-270M

API details

API speed
4/5
No public API pricing yet.
Gemma 3-270M

Benchmark Results

No benchmark data to show.

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Gemma 3-270M

Publisher

Google Deep Mind
Google Deep Mind
View publisher details
Gemma 3-270M

Model Overview

Gemma 3-270M is a foundation model from Google Deep Mind, released on 2025-08-14.

It accepts text and image input and produces text output. Its cataloged capabilities include Multilingual. The cataloged parameter count is 200M, with 300M active parameters per inference. The recorded context window is 128K, and the recorded maximum output is 32K.

The checkpoint is listed under the Gemma Terms Of Use license, with the license link included in the model references. 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 3-270M

FAQ

What is Gemma 3-270M?

Gemma 3-270M is a foundation model from Google Deep Mind, released on 2025-08-14. It accepts text and image input and returns text output. The cataloged parameter count is 200M, with 300M active parameters per inference. The recorded context window is 128K, and the recorded maximum output is 32K. 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 3-270M support?

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

What are the main recorded specifications for Gemma 3-270M?

The cataloged parameter count is 200M, with 300M active parameters per inference. The recorded context window is 128K, and the recorded maximum output is 32K. Fields without a source-backed value remain undisclosed.

Why is no API price shown for Gemma 3-270M?

Open-weight checkpoint; no first-party hosted price published for this exact checkpoint.

Why are no benchmark results shown for Gemma 3-270M?

No official exact-model result that can be mapped safely to the current catalog.

Is Gemma 3-270M 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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