Gemma 3 12B is a well-balanced mid-sized multimodal language model developed by Google DeepMind, designed to tackle narrow, specialized professional tasks. With 12 billion parameters, the model combines high performance with computational efficiency and supports a wide range of capabilities—from text analysis to image processing. Gemma 3 12B converts visual data into tokens, enabling deep understanding of images. The "Pan&Scan" technology allows adaptive processing of images with any aspect ratio, preserving detail when scaling up to a resolution of 896×896.
Another key feature is the expanded context window of up to 128K tokens. This enables the model to process lengthy legal documents and scientific articles in a single request without losing context. Multilingual support covers more than 140 languages, including Russian, while the enhanced tokenizer from Gemini 2.0 ensures high-quality translation, text generation, and cross-lingual analysis. Additionally, developer-supported quantization makes it possible to run the model even on consumer-grade GPUs with minimal loss in quality.
As a result, Gemma 3 12B is a versatile tool for data analysis, document processing, and information extraction from visual sources—with the ability to run locally and scalable integration into modern AI infrastructures.
| Model Name | Context | Type | GPU | Status | Link |
|---|
There are no public endpoints for this model yet.
An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.
A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.
We recommend creating private endpoints when you need to:
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 tensor |
2 | $0.93 | 2.272 | Launch | ||
131,072.0 pipeline |
3 | $1.06 | 8.87 | 1.548 | Launch | |
131,072.0 tensor |
4 | $1.26 | 3.185 | Launch | ||
131,072.0 tensor |
2 | $1.56 | 92.00 | 2.950 | Launch | |
131,072.0 tensor |
2 | $1.56 | 2.950 | Launch | ||
131,072.0 |
1 | $1.59 | 1.147 | Launch | ||
131,072.0 tensor |
4 | $1.82 | 1.265 | Launch | ||
131,072.0 tensor |
2 | $1.92 | 124.25 | 2.468 | Launch | |
131,072.0 |
1 | $2.37 | 106.97 | 6.071 | Launch | |
131,072.0 |
1 | $3.83 | 94.06 | 4.142 | Launch | |
131,072.0 |
1 | $4.11 | 5.091 | Launch | ||
131,072.0 tensor |
2 | $4.61 | 13.193 | Launch | ||
131,072.0 |
1 | $4.74 | 8.319 | Launch | ||
131,072.0 tensor |
2 | $9.40 | 17.845 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 tensor |
2 | $0.93 | 54.50 | 2.504 | Launch | |
131,072.0 pipeline |
3 | $1.06 | 1.730 | Launch | ||
131,072.0 tensor |
4 | $1.26 | 3.418 | Launch | ||
131,072.0 tensor |
2 | $1.56 | 80.29 | 2.708 | Launch | |
131,072.0 tensor |
2 | $1.56 | 2.708 | Launch | ||
131,072.0 |
1 | $1.59 | 1.378 | Launch | ||
131,072.0 tensor |
4 | $1.82 | 1.498 | Launch | ||
131,072.0 tensor |
2 | $1.92 | 86.72 | 2.700 | Launch | |
131,072.0 |
1 | $2.37 | 83.57 | 5.986 | Launch | |
131,072.0 |
1 | $3.83 | 96.29 | 4.295 | Launch | |
131,072.0 |
1 | $4.11 | 5.256 | Launch | ||
131,072.0 tensor |
2 | $4.61 | 13.424 | Launch | ||
131,072.0 |
1 | $4.74 | 8.484 | Launch | ||
131,072.0 tensor |
2 | $9.40 | 18.011 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 tensor |
2 | $0.93 | 1.437 | Launch | ||
131,072.0 tensor |
4 | $1.26 | 16.66 | 2.337 | Launch | |
131,072.0 tensor |
2 | $1.56 | 52.27 | 1.641 | Launch | |
131,072.0 tensor |
2 | $1.56 | 1.641 | Launch | ||
131,072.0 tensor |
2 | $1.92 | 1.633 | Launch | ||
131,072.0 |
1 | $2.37 | 4.927 | Launch | ||
131,072.0 tensor |
2 | $2.93 | 3.140 | Launch | ||
131,072.0 |
1 | $3.83 | 61.70 | 3.534 | Launch | |
131,072.0 |
1 | $4.11 | 4.495 | Launch | ||
131,072.0 tensor |
2 | $4.61 | 12.357 | Launch | ||
131,072.0 |
1 | $4.74 | 7.723 | Launch | ||
131,072.0 tensor |
2 | $9.40 | 17.245 | Launch | ||
Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.