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Compare GPU and LLM inference API pricing between Google Cloud and Novita AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Novita AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | Google Cloud | Novita AI | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.700 in $2.50 out | — |
DeepSeek | Not available | $0.400 in $1.30 out | — |
DeepSeek | Not available | $0.270 in $1.00 out | — |
DeepSeek | Not available | $0.140 in $0.280 out | — |
DeepSeek | Not available | $0.440 in $1.32 out | — |
DeepSeek | Not available | $1.60 in $3.20 out | — |
Baidu | Not available | $0.070 in $0.280 out | — |
Baidu | Not available | $0.420 in $1.25 out | — |
Google | $0.750 in $3.75 out | Not available | — |
Google | $0.750 in $3.75 out | Not available | — |
Google | Not available | $0.050 in $0.100 out | — |
Google | Not available | $0.119 in $0.200 out | — |
Google | Not available | $0.130 in $0.400 out | — |
Google | Not available | $0.140 in $0.400 out | — |
Zhipu | Not available | $0.130 in $0.850 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
One endpoint for 200+ text, image, audio and video models, callable with existing OpenAI client libraries
Qwen, DeepSeek, GLM, Kimi, MiniMax, Llama, Gemma and Nemotron families served serverlessly with per-token billing
Cache-read pricing published separately from standard input pricing on most chat models
Per-second serverless GPU jobs, on-demand instances, and bare-metal clusters with H100 and H200 hardware
Dedicated deployments for workloads that need reserved capacity rather than shared serverless throughput
Isolated runtimes for agent workloads that call models and execute tools, billed per second
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Serverless per-token inference across text, image, audio and video models through an OpenAI-compatible API
On-demand and serverless GPU compute, plus bare-metal clusters for larger deployments
Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.
Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.
Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Sign up at novita.ai and generate an API key from the dashboard
Set the base URL to Novita's OpenAI-compatible endpoint and pass the API key as the bearer token
Browse the model library for the model id, then pass it as the model parameter
Move to a private endpoint or dedicated GPU instance when shared serverless throughput is not enough
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Regional availability is not published on the marketing site.
Documentation site, dashboard guidance, and email support at support@novita.ai.