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.
Details
| Released | June 3, 2026stated in blog.googleGemma 4 12B was released on June 3, 2026.
|
|---|---|
| Company | Google DeepMind |
| Family | Gemma |
| Lineage | after Gemma 3 |
| Era | Agentic systems |
| Type | Language model · LLM |
| Modalities | Text + Image + Audio → Text |
| Capabilities | Reasoning, Agentic, Vision, Coding |
| Weights | Open weights |
| Licence | Apache-2.0 |
| Context window | Not researched |
| Parameters | 12Bstated in blog.googleGemma 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.
| Benchmark | Score | Reported by | Date |
|---|---|---|---|
| LiveCodeBench | 80 | Vendor reported | June 3, 2026 |
| MMMU | 76.9 | Vendor reported | June 3, 2026 |
| GPQA Diamond | 84.3 | Vendor reported | June 3, 2026 |
| AIME | 89.2 | Vendor reported | June 3, 2026 |
| MMLU | 85.2 | Vendor reported | June 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.
- Announced blog.google, huggingface.co
- 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.
- Current price and providers OpenRouter ↗
- Current benchmark scores Artificial Analysis ↗
- Weights and model card Hugging Face ↗
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.”.
- blog.google Official announcement archived
- huggingface.co Model card archived
Primary means published by the organisation that made the model. Verified records require at least one.
Gemma family
- Gemma February 21, 2024
- Gemma 3 March 12, 2025
- Gemma 4 12B June 3, 2026
- 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.
- Parameters27B → 12B
- LicenceGemma Terms of Use → Apache-2.0
- Capabilities first evidencedreasoning, agentic, coding
- Modalities first evidencedaudio in
Not comparable: Context window (not researched on both releases)
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