Fireworks AI vs Google Cloud
Compare GPU pricing, features, and specifications between Fireworks AI and Google Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.
Fireworks AI
Provider 1
Google Cloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Fireworks AI Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
L4 24GB VRAM • Google Cloud | Not Available |  $4.48/hr★ Best8x GPU | — | |
L4 24GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | $2.20/hr★ Best 4x GPU | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | $19.84/hr★ Best 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | $4.48/hr★ Best 8x GPU | — | |
L4 24GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | $2.20/hr★ Best 4x GPU | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | $19.84/hr★ Best 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Fireworks AI
- 400+ Open-Source Models
Instant access to Llama, DeepSeek, Qwen, Mixtral, FLUX, Whisper, and more
- Blazing Fast Inference
Industry-leading throughput and latency processing 140B+ tokens daily
- Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning with LoRA efficiency
- OpenAI-Compatible API
Drop-in replacement for easy migration from OpenAI
- On-Demand GPUs
A100, H100, H200, and B200 deployments with per-second billing
- Batch Processing
50% discount for async bulk inference workloads
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.
Pros & Cons
Fireworks AI
Advantages
- Lightning-fast inference with industry-leading response times
- Easy-to-use API with excellent OpenAI compatibility
- Wide variety of optimized open-source models
- Competitive pricing with 50% off cached tokens and batch processing
Considerations
- Limited capacity with some serverless model limits
- Primarily focused on language models over image/video generation
- BYOC only available for major enterprise customers
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
Compute Services
Fireworks AI
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
Pricing Options
Fireworks AI
Serverless pay-per-token
Starting at $0.10/1M tokens for small models, $0.90/1M for large models
Cached tokens
50% discount on cached input tokens
Batch processing
50% discount on async bulk inference
On-demand GPUs
Per-second billing from $2.90/hr (A100) to $9.00/hr (B200)
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.
Getting Started
Fireworks AI
- 1
Explore Model Library
Browse 400+ models at fireworks.ai/models
- 2
Test in Playground
Experiment with prompts interactively without coding
- 3
Generate API Key
Create an API key from user settings in your account
- 4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
- 5
Scale to production
Transition to on-demand GPU deployments for production workloads
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.
Support & Global Availability
Fireworks AI
Global Regions
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Support
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
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.
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