Models / Google

Google

Deploy Google's Gemma 3 models on Together AI. Lightweight, state-of-the-art open models built from the same technology that powers Gemini.

Why Google on Together AI?

Designed for production workloads that need 
consistent performance and operational control.

Gemini technology, open and deployable

Gemma models are built from the same research and architecture that powers Gemini. Deploy frontier AI you can fine-tune, own, and run without restrictions.

The best open model on a single GPU

Gemma 3 27B is the most capable open model that fits on a single NVIDIA H100 — with multimodal vision, unparalleled multilingual support, and a 128K context window.

From cloud to edge, one model family

Sizes from 270M to 27B run everywhere — cloud infrastructure, workstations, and mobile. SOC 2 Type II certified and HIPAA compliant on Together AI's US-based infrastructure.

Meet the Google family

Explore top-performing models across text, image, video, code, and voice.

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Gemma 4 31B

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Nano Banana Pro (Gemini 3 Pro Image)

Video

Google Veo 3.0

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Gemini 3.1 Flash Image (Nano Banana 2)

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Gemma 3n E4B Instruct

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Gemma 3 27B

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Gemma 3 12B

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Gemma 3 1B

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Gemma 3 4B

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Gemma Instruct (2B)

Video

Google Veo 3.0 Fast + Audio

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Google Veo 3.0 Fast

Video

Google Veo 3.0 + Audio

Video

Google Veo 2.0

Image

Google Imagen 4.0 Fast

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Google Imagen 4.0 Preview

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Gemini Flash Image 2.5 (Nano Banana)

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Google Imagen 4.0 Ultra

Have your own model?

Deploy custom containers on Together’s managed GPU infrastructure with automatic scaling, job queues, and built-in observability.

Deployment options

Run models using different deployment options depending on latency needs, traffic patterns, and infrastructure control.

  • Serverless Inference

  • Provisioned 
Throughput

  • Dedicated Model 
Inference

  • Dedicated Container 
Inference

Serverless Inference

A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

Best for

Variable or unpredictable traffic

Rapid prototyping and iteration

Cost-sensitive or early-stage production workloads

Provisioned 
Throughput

Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit. 

Best for

Production workloads

Reliability guarantees

Predictable pricing

Dedicated Model 
Inference

An inference endpoint backed by reserved, isolated compute resources and Together AI inference research.

Best for

Predictable or steady traffic

Latency-sensitive applications

High-throughput production workloads

Dedicated Container 
Inference

Run inference with your own engine and model on fully-managed, scalable infrastructure.

Best for

Generative media models

Non-standard runtimes

Custom inference pipelines