Google DeepMind

Gemma 4 12B IT

Tool callingStructured outputReasoningImage input
Gemma 4 12B IT launch post cover

Compact Gemma 4 instruction model for open, self-hosted chat and reasoning

Context
262K
Released
4mo ago
Parameters
12B

Sources:models.dev

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Model family
Gemma
Type
Language model
Predecessor
—
Successor
—
Released
June 9, 2026
Model ID
google/gemma-4-12b-it
Openness
Open weights
License
—
Parameters
12B
Input modalities
text, image
Output modalities
text
Modality
text+image->text
Max output tokens
33K
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
google/gemma-4-12b-it
Source family
gemma
Last updated
2026-06-09
Model context
262K
Model output limit
33K
Open weights
Yes
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Downloadable weights

Complete source record (JSON)
{
  "id": "google/gemma-4-12b-it",
  "name": "Gemma 4 12B IT",
  "description": "Compact Gemma 4 instruction model for open, self-hosted chat and reasoning",
  "family": "gemma",
  "last_updated": "2026-06-09",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 262144,
    "output": 32768
  },
  "release_date": "2026-06-09",
  "open_weights": true,
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/google/gemma-4-12B-it"
    }
  ]
}

Infrastructure

Provider availability

All providers
Provider endpoint data will appear after this model's first OpenRouter endpoint sync.

Text provenance

Gemini app/web

Google SynthID text watermarking

Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.

Official explanation

Deployment graph

Can I run this?

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