Gemma 4 12B
Gemma 4 12B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 256k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Gemma 4
- Released
- 2026-06-03
- Context
- 256k
- Parameters
- 11.9B
- Architecture
- encoder_free_unified_multimodal
- Knowledge cutoff
- 2025-01
- Specialization
- general
- License
- Apache 2.0
- Training
- pretrained
Cheapest of 2 routes · Hugging Face Inference Endpoints
About
Base pre-trained 12B Gemma 4 model with an encoder-free unified multimodal architecture for text, image, video, and audio input. It supports a 256K context window and is intended for fine-tuning, research, and self-hosted local deployment in the gap between Gemma 4 E4B and the larger 26B MoE / 31B dense variants.
Gemma 4 12B is an open-source model in the Gemma 4 family. The structured metadata tracks a 256k-token context window, multimodal input, audio, reasoning, function calling, and tool use. This page tracks provider routes through Hugging Face Inference Endpoints and Kaggle Models. No headline benchmark score is tracked for Gemma 4 12B yet.
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Hugging Face Inference Endpoints | - | - | Partial |
| Kaggle Models | - | - | Partial |
Capabilities
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.