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Compare GPU and LLM inference API pricing between Fireworks AI and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Fireworks AI Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Fireworks AI | Google Cloud | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.220 in $0.660 out | Not available | — |
DeepSeek | $0.210 in $0.629 out | Not available | — |
DeepSeek | $1.32 in $3.96 out | Not available | — |
DeepSeek | $0.220 in $0.660 out | Not available | — |
Google | Not available | $0.150 in $0.600 out | — |
Google | Not available | $0.075 in $0.300 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.100 in $0.400 out | — |
Google | Not available | $1.25 in $10.00 out | — |
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $0.250 in $1.50 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $1.50 in $9.00 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus
Industry-leading throughput and latency with fast inference engine
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop
Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning
H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling
Async bulk inference jobs run at scale for less than standard serverless requests
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.
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.
Pay-per-token pricing across Standard, Priority, and Fast serverless tiers with postpaid billing and no cold starts
Cached input tokens billed at a reduced rate on supported models
Async bulk inference billed at a discount to standard serverless requests
Embedding models billed per 1M input tokens, tiered by model parameter count
Supervised and preference fine tuning billed per 1M training tokens with LoRA or full-parameter options; reinforcement fine tuning billed per GPU hour
Shared always-on trainer pool for LoRA training with no provisioning or idle cost, billed per token prefilled, sampled, and trained
Per-second billing for H100, H200, B200, B300, and GB300 GPU deployments with no start-up charges; region-restricted deployments in the US or Europe are priced at 1.25x the standard rate
Guaranteed capacity with higher rate limits and earliest access to new hardware, arranged through sales
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.
Browse 100+ models at fireworks.ai/models
Experiment with prompts interactively without coding
Create an API key from user settings in your account
Use OpenAI-compatible endpoints or Fireworks SDK
Transition to on-demand GPU deployments for production workloads
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.
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.