Fireworks AI vs RunPod
Compare GPU pricing, features, and specifications between Fireworks AI and RunPod cloud providers. Find the best deals for AI training, inference, and ML workloads.
Fireworks AI
Provider 1
RunPod
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Fireworks AI Price | RunPod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • RunPod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • RunPod | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • RunPod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • RunPod | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB 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
RunPod
- Secure Cloud GPUs
Access to a wide range of GPU types with enterprise-grade security
- Pay-as-you-go
Only pay for the compute time you actually use
- API Access
Programmatically manage your GPU instances via REST API
- Fast cold-starts
Pods typically ready in 20-30 s
- Hot-reload dev loop
SSH & VS Code tunnels built-in
- Spot-to-on-demand fallback
Automatic migration on pre-empt
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
RunPod
Advantages
- Competitive pricing with pay-per-second billing
- Wide variety of GPU options
- Simple and intuitive interface
Considerations
- GPU availability can vary by region
- Some features require technical knowledge
Compute Services
Fireworks AI
RunPod
Pods
On‑demand single‑node GPU instances with flexible templates and storage.
Instant Clusters
Spin up multi‑node GPU clusters in minutes with auto networking.
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)
RunPod
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
RunPod
- 1
Create an account
Sign up for RunPod using your email or GitHub account
- 2
Add payment method
Add a credit card or cryptocurrency payment method
- 3
Launch your first pod
Select a template and GPU type to launch your first instance
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
RunPod
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