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Compare GPU and LLM inference API pricing between Crusoe and Fireworks AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Crusoe Price | Fireworks AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Crusoe | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Crusoe | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
| Model ↑ | Crusoe | Fireworks AI | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.500 in $1.50 out | Not available | — |
DeepSeek | $0.140 in $0.280 out | $0.140 in $0.280 out | $0.0000 |
DeepSeek | $1.74 in $3.48 out | $1.74 in $3.48 out | $0.0000 |
Google | $0.140 in $0.400 out | Not available | — |
Zhipu | $1.20 in $4.40 out | Not available | — |
Zhipu | $1.40 in $4.40 out | $1.40 in $4.40 out | $0.0000 |
OpenAI | $0.050 in $0.200 out | $0.150 in $0.600 out | $0.100 |
OpenAI | Not available | $0.070 in $0.300 out | — |
Moonshot | $0.700 in $3.50 out | $0.950 in $4.00 out | $0.250 |
Moonshot | Not available | $3.00 in $15.00 out | — |
Meta | $0.250 in $0.750 out | Not available | — |
MiniMax | Not available | $0.300 in $1.20 out | — |
MiniMax | Not available | $0.300 in $1.20 out | — |
NVIDIA | $0.050 in $0.200 out | Not available | — |
NVIDIA | $0.300 in $1.83 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture
Machines are deployed quickly when they are launched
Persistent and shared disks, object storage, and a container registry for AI datasets
Provides instances with NVIDIA SXM GPU interconnects
99.5% uptime commitment backed by 24/7 enterprise-grade support
LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM
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
High-performance GPU instances powered by NVIDIA GPUs
General-purpose and storage-optimized CPU instances for data processing
Fully managed LLM inference spanning serverless, self-serve dedicated, and tailored deployments
Pay by the hour for maximum agility and unthrottled compute
Use spare capacity at significant discounts compared to on-demand pricing
Lock in guaranteed resources at lowest rates with custom commitments
Flexible pricing for LLM inference based on token usage
Guaranteed inference capacity with AI Model Units, priced lower for longer commitments
Hourly per-GPU pricing for self-serve dedicated endpoints, with monthly and volume rates via sales
Per-token pricing tiered by the parameter count of the base model being tuned
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
Sign up for Crusoe Cloud services through their website
Choose from available GPU types including L40S, A100, H100, H200, B200, GB200, and AMD options
Set up persistent storage options for your workloads
Deploy via the console, or provision programmatically with the Crusoe CLI or Terraform
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
Data centers sited near low-cost energy in the United States, including a large-scale campus in Abilene, Texas, plus European capacity in Iceland and Norway
Documentation, learning hub, and 24/7 enterprise-grade support with a 99.5% uptime commitment; SOC 2, ISO 27001, and ISO 42001 certifications
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