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Compare GPU and LLM inference API pricing between Fireworks AI and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Fireworks AI Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • IO.NET | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • IO.NET | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
| Model ↑ | Fireworks AI | IO.NET | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.524 in $2.21 out | — |
DeepSeek | Not available | $0.955 in $1.89 out | — |
DeepSeek | $0.140 in $0.280 out | $0.203 in $0.367 out | $0.063 |
DeepSeek | $1.74 in $3.48 out | $1.41 in $2.83 out | $0.326 |
Google | Not available | $0.124 in $0.410 out | — |
Zhipu | Not available | $0.157 in $0.937 out | — |
Zhipu | Not available | $0.536 in $2.07 out | — |
Zhipu | Not available | $0.930 in $2.53 out | — |
Zhipu | $1.40 in $4.40 out | $0.830 in $2.56 out | $0.570 |
Zhipu | $1.40 in $4.40 out | $1.31 in $4.20 out | $0.090 |
Zhipu | $1.40 in $4.40 out | $1.54 in $4.84 out | $0.138 |
OpenAI | $0.150 in $0.600 out | $0.180 in $0.610 out | $0.030 |
OpenAI | $0.070 in $0.300 out | $0.051 in $0.186 out | $0.019 |
Moonshot | $0.950 in $4.00 out | $0.570 in $2.30 out | $0.380 |
Moonshot | Not available | $0.520 in $2.74 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
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
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Deploy clusters in under 90 seconds with auto-scaling capabilities
Choose from containers, Ray clusters, or bare metal based on workload needs
Uses the same distributed computing framework that OpenAI used to train GPT-3
AI models, smart agents, and API integration for workflow automation
Kernel-level VPN with secure mesh protocols for data protection
On-demand GPU clusters for AI/ML workloads with multiple deployment options
AI models, smart agents, and API integration platform
Decentralized pool of GPU providers with unified APIs and competitive 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
Most cost-effective option for distributed ML workloads using Ray framework
Standard containerized deployments with Docker support
Premium pricing for direct hardware access and maximum performance
Dynamic pricing based on actual resource usage with automatic scaling
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
Create an account on the IO.NET platform with no complex KYC requirements
Purchase $IO tokens for compute payments or add other supported payment methods
Select from containers, Ray clusters, or bare metal based on your workload
Specify GPU requirements, region preferences, and scaling options
Launch your cluster in under 90 seconds and start your AI/ML workloads
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
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions