Gemma 4 12B

Google DeepMind · · 6 days after Nano Banana Pro

Verified

2 of 2 published values traced to a source2 primary sources, 2 archived1 not researched yet

Why this status

Cited to the lab's own announcement and the official model card. Not verified because the release date could not be found in any cited primary source — the value may be correct, but this dataset cannot yet show where it came from. Modalities read from the launch announcement, which states: “Novel unified architecture: No multimodal encoders. The vision and audio inputs flow directly into the LLM backbone,” and describes each path separately — vision through a lightweight embedding module, raw audio projected into the same dimensional space as text tokens. Output is recorded as text: no image, audio or video generation is claimed anywhere in the primary sources. Capabilities evidenced from the primary sources: agentic: “5X 2X Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops.” | vision: “Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output.” | coding: “Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning.” | reasoning: “Thinking Mode Configuration Compared to Gemma 3, the models use standard system , assistant , and user roles.”.

What these states mean · How records are judged · Has this record changed?

Sits between Gemma 4 E4B and the 26B MoE, and is Google's first mid-sized Gemma with native audio input. Drops the separate multimodal encoders: vision goes through a lightweight embedding module and raw audio is projected straight into the text token space, so both flow into the LLM backbone directly.

reasoningagenticvisioncodingopen-weightsmultimodal

Details

ReleasedJune 3, 2026
stated in blog.google

Gemma 4 12B was released on June 3, 2026.

CompanyGoogle DeepMind
FamilyGemma
Lineageafter Gemma 3
EraAgentic systems
TypeLanguage model · LLM
ModalitiesText + Image + Audio → Text
CapabilitiesReasoning, Agentic, Vision, Coding
WeightsOpen weights
LicenceApache-2.0
Context windowNot researched
Parameters12B
stated in blog.google

Gemma 4 12B has 12,000,000,000 parameters.

Benchmarks

Each row is a dated claim by a named party, not a property of the model. A later revision adds a row rather than replacing one. This project publishes no composite or overall score.

BenchmarkScoreReported byDate
LiveCodeBench80 Vendor reportedJune 3, 2026
MMMU76.9 Vendor reportedJune 3, 2026
GPQA Diamond84.3 Vendor reportedJune 3, 2026
AIME89.2 Vendor reportedJune 3, 2026
MMLU85.2 Vendor reportedJune 3, 2026

Release timeline

A model has more than one date. The timeline above positions it at its announcement; these are every recorded lifecycle event, each with the source that evidences it.

  1. Announced blog.google, huggingface.co
  2. Weights published blog.google

Current information, elsewhere

This record is a historical one: every figure above is traced to a dated primary source. For what is true today — live pricing, current rankings, availability — these are better maintained than anything here could be.

Sources

Record status: verified · confidence 90/100 · 2 of 2 primary

Cited to the lab's own announcement and the official model card. Not verified because the release date could not be found in any cited primary source — the value may be correct, but this dataset cannot yet show where it came from. Modalities read from the launch announcement, which states: “Novel unified architecture: No multimodal encoders. The vision and audio inputs flow directly into the LLM backbone,” and describes each path separately — vision through a lightweight embedding module, raw audio projected into the same dimensional space as text tokens. Output is recorded as text: no image, audio or video generation is claimed anywhere in the primary sources. Capabilities evidenced from the primary sources: agentic: “5X 2X Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops.” | vision: “Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output.” | coding: “Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning.” | reasoning: “Thinking Mode Configuration Compared to Gemma 3, the models use standard system , assistant , and user roles.”.

Primary means published by the organisation that made the model. Verified records require at least one.

Gemma family

  1. Gemma February 21, 2024
  2. Gemma 3 March 12, 2025
  3. Gemma 4 12B June 3, 2026
  4. EmbeddingGemma 2 October 6, 2026

What changed from Gemma 3

Compared with the previous release in this series. A field appears only when both records state a value — where one does not, it is listed as uncomparable rather than dropped, because a gap in our research is not a finding about the model.

Not comparable: Context window (not researched on both releases)

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