Google Cloud vs Together AI
Compare GPU pricing, features, and specifications between Google Cloud and Together AI cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Together AI
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Together AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Together AI | Not Available |  $2.40/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Together AI | Not Available | $1.30/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Together AI | Not Available | $5.50/hr★ Best | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Together AI | Not Available | $1.75/hr★ Best | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Together AI | Not Available | $2.09/hr★ Best | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud |  $0.56/hr★ Best8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Together AI | Not Available | $2.10/hr★ Best | — | |
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | $0.55/hr★ Best 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | $2.48/hr★ Best 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Together AI | Not Available | $2.40/hr★ Best | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Together AI | Not Available | $1.30/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Together AI | Not Available | $5.50/hr★ Best | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Together AI | Not Available | $1.75/hr★ Best | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Together AI | Not Available | $2.09/hr★ Best | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | $0.56/hr★ Best 8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Together AI | Not Available | $2.10/hr★ Best | — | |
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | $0.55/hr★ Best 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | $2.48/hr★ Best 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Google Cloud
- Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
- Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
- Cloud Functions
Event-driven serverless compute platform.
- Cloud Run
Fully managed serverless platform for containerized applications.
- Vertex AI
Unified ML platform for building, deploying, and managing ML models.
- Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Together AI
- 100+ Open-Source Models
Access to Llama, DeepSeek, Qwen, and other leading open-source models
- Serverless Inference
Pay-per-token API with OpenAI-compatible endpoints
- Fine-Tuning Platform
LoRA and full fine-tuning with proprietary optimizations
- GPU Clusters
Instant self-service or reserved dedicated clusters with H100, H200, B200 access
- Batch API
50% cost reduction for non-urgent inference workloads
- Code Interpreter
Execute LLM-generated code in sandboxed environments
Pros & Cons
Google Cloud
Advantages
- Flexible pricing options, including sustained use discounts
- Strong AI and machine learning tools (Vertex AI)
- Good integration with other Google services
- Cutting-edge Kubernetes implementation (GKE)
Considerations
- Limited availability in some regions compared to AWS
- Complexity in managing resources
- Support can be costly
Together AI
Advantages
- 3.5x faster inference and 2.3x faster training than alternatives
- Competitive pricing with 50% batch API discount
- Wide selection of 100+ open-source models
- OpenAI-compatible APIs for easy migration
Considerations
- Primarily focused on open-source models
- GPU cluster pricing requires custom quotes for reserved capacity
- Smaller ecosystem compared to major cloud providers
Compute Services
Google Cloud
Compute Engine
Offers customizable virtual machines running in Google's data centers.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for running containerized applications.
- Automated Kubernetes operations
- Integration with Google Cloud services
Cloud Functions
Serverless compute platform for running code in response to events.
- Automatic scaling and high availability
- Pay only for the compute time consumed
Together AI
Pricing Options
Google Cloud
On-Demand
Pay for compute capacity per hour or per second, with no long-term commitments.
Sustained Use Discounts
Automatic discounts for running instances for a significant portion of the month.
Committed Use Discounts
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Preemptible VMs
Save up to 80% for fault-tolerant workloads that can be interrupted.
Together AI
Serverless pay-per-token
Starting at $0.06/1M tokens for small models up to $3.50/1M for 405B models
Batch API
50% discount for non-urgent inference workloads
Fine-tuning
$0.48-$3.20 per 1M tokens depending on model size
GPU Clusters
$2.20-$5.50/hour per GPU for instant clusters, custom pricing for reserved
Getting Started
Google Cloud
- 1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
- 2
Enable billing
Set up a billing account to pay for resource usage.
- 3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
- 4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
- 5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Together AI
- 1
Create an account
Sign up at together.ai
- 2
Get API key
Generate an API key from your dashboard
- 3
Choose a model
Browse 100+ models for chat, code, images, video, and audio
- 4
Make API calls
Use OpenAI-compatible endpoints or Together SDK
Support & Global Availability
Google Cloud
Global Regions
40+ regions and 120+ zones worldwide.
Support
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Together AI
Global Regions
Global data center network across 25+ cities with frontier hardware including GB200, B200, H200, H100
Support
Documentation, community Discord, email support, and expert support for reserved cluster customers
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