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Compare GPU and LLM inference API pricing between Fireworks AI and Hyperstack. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Fireworks AI Price | Hyperstack Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Hyperstack | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Hyperstack | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Hyperstack | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Hyperstack | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Hyperstack | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Hyperstack | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Fireworks AI | Hyperstack | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.140 in $0.280 out | Not available | — |
DeepSeek | $1.74 in $3.48 out | Not available | — |
Zhipu | $1.40 in $4.40 out | Not available | — |
Zhipu | $1.40 in $4.40 out | Not available | — |
Zhipu | $1.40 in $4.40 out | Not available | — |
OpenAI | $0.150 in $0.600 out | $0.100 in $0.400 out | $0.050 |
OpenAI | $0.070 in $0.300 out | Not available | — |
Moonshot | $0.950 in $4.00 out | Not available | — |
Meta | Not available | $0.200 in $0.200 out | — |
Meta | Not available | $0.800 in $0.800 out | — |
MiniMax | $0.300 in $1.20 out | Not available | — |
MiniMax | $0.300 in $1.20 out | Not available | — |
Alibaba | $0.400 in $1.60 out | Not available | — |
Alibaba | $0.200 in $0.0000 out | Not available | — |
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
Instant access to latest models like Kimi K2.5, DeepSeek V3.2, GLM-5.1, Qwen3.6 Plus, FLUX.1 Kontext Pro, Whisper V3 Large, and more
Industry-leading throughput and latency with fast inference engine
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters with LoRA efficiency
Drop-in replacement - just change the base URL for easy migration
H100, H200, B200, and B300 deployments with per-second billing and autoscaling
50% discount for async bulk inference workloads
Automated software deployment, scaling and management
Optimized templates for GPU-accelerated workloads with custom flavor options
Purpose-built API designed specifically for GPU cloud operations
Network architecture optimized for maximum GPU efficiency
Multiple storage options including NVMe, HDD block, and HDD Shared storage
Range of NVIDIA GPU options for various workloads with flexible pricing
Configure per‑GPU CPU/RAM with transparent published pricing.
Pay-per-token pricing with parameter-based tiers from $0.10 to $0.90 per 1M tokens, plus premium models
50% discount on cached input tokens for supported models
50% discount on async bulk inference for both input and output tokens
Per-training-token pricing for SFT, DPO, and reinforcement learning with LoRA and full parameter options
Per-second billing for H100, H200, B200, and B300 GPU deployments with no startup charges
Browse 400+ 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
Sign up for Hyperstack cloud services
Select from pre-configured flavors or create custom ones
Launch GPU instances with 1-click deployment
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
Data centers in Europe and North America
Human support team, documentation, and developer resources