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Compare GPU and LLM inference API pricing between Runcrate and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.48/hour between comparable GPUs
| GPU Model ↑ | Runcrate Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Runcrate | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Runcrate | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RuncrateSpheron | ↑+$0.39(+35.5%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 9/21/2026 $1.10/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.39(+35.5%) | ||||
A16 64GB VRAM • Runcrate | 2x GPU | Not Available | — | |
A16 64GB VRAM • $0.56/hour 2x GPU configuration Updated: 9/21/2026 ★Best Price Not Available | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • Runcrate | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • $1.21/hour 8x GPU configuration Updated: 9/21/2026 ★Best Price Not Available | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • RuncrateSpheron | ↑+$0.65(+31.0%) | |||
H100 SXM 80GB VRAM • $2.75/hour Updated: 9/21/2026 $2.10/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.65(+31.0%) | ||||
H200 141GB VRAM • RuncrateSpheron | 8x GPU | ↑+$1.09(+32.9%) | ||
H200 141GB VRAM • $4.40/hour 8x GPU configuration Updated: 9/21/2026 $3.31/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$1.09(+32.9%) | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Runcrate | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runcrate | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RuncrateSpheron | ↑+$0.01(+1.0%) | |||
L40S 48GB VRAM • $0.97/hour Updated: 9/21/2026 $0.96/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.01(+1.0%) | ||||
MI300X 192GB VRAM • Spheron | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Runcrate | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
A10 24GB VRAM • Runcrate | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Runcrate | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RuncrateSpheron | ↑+$0.39(+35.5%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 9/21/2026 $1.10/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.39(+35.5%) | ||||
A16 64GB VRAM • Runcrate | 2x GPU | Not Available | — | |
A16 64GB VRAM • $0.56/hour 2x GPU configuration Updated: 9/21/2026 ★Best Price Not Available | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • Runcrate | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • $1.21/hour 8x GPU configuration Updated: 9/21/2026 ★Best Price Not Available | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • RuncrateSpheron | ↑+$0.65(+31.0%) | |||
H100 SXM 80GB VRAM • $2.75/hour Updated: 9/21/2026 $2.10/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.65(+31.0%) | ||||
H200 141GB VRAM • RuncrateSpheron | 8x GPU | ↑+$1.09(+32.9%) | ||
H200 141GB VRAM • $4.40/hour 8x GPU configuration Updated: 9/21/2026 $3.31/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$1.09(+32.9%) | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Runcrate | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runcrate | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RuncrateSpheron | ↑+$0.01(+1.0%) | |||
L40S 48GB VRAM • $0.97/hour Updated: 9/21/2026 $0.96/hour Updated: 9/21/2026 ★Best Price Price Difference:↑+$0.01(+1.0%) | ||||
MI300X 192GB VRAM • Spheron | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Runcrate | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
| Model ↑ | Runcrate | Spheron | Input Diff ↕ |
|---|---|---|---|
Anthropic | $3.30 in $16.50 out | Not available | — |
DeepSeek | $0.500 in $2.15 out | Not available | — |
DeepSeek | $0.240 in $0.900 out | Not available | — |
Google | $0.150 in $1.25 out | Not available | — |
Google | $0.050 in $0.150 out | Not available | — |
Google | $0.090 in $0.340 out | Not available | — |
Zhipu | $0.060 in $0.400 out | Not available | — |
Zhipu | $0.500 in $2.00 out | Not available | — |
Zhipu | $0.400 in $1.75 out | Not available | — |
Meta | $0.340 in $0.340 out | Not available | — |
NVIDIA | $0.400 in $0.400 out | Not available | — |
MiniMax | $0.150 in $1.15 out | Not available | — |
Mistral | $0.019 in $0.030 out | Not available | — |
Microsoft | $0.070 in $0.140 out | Not available | — |
Alibaba | $0.080 in $0.280 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Runcrate with another leading provider
Compare Runcrate with another leading provider
Compare Runcrate with another leading provider
Compare Runcrate with another leading provider
Compare Runcrate with another leading provider
Compare Runcrate with another leading provider
Token-billed API calls and GPU hours draw on one credit balance with a single invoice, auto-recharge, and credits that do not expire
Chat, image, video, text-to-speech, speech-to-text and embedding models served behind OpenAI-compatible REST endpoints, so existing clients switch by changing the base URL
Bare-metal instances with SSH, Docker and custom images, provisioned in about 60 seconds
An unauthenticated endpoint publishes the live GPU rate card, refreshed every few minutes
Reserved bare-metal from 16 to 128+ nodes with NVLink fabric and managed Slurm job submission
Python and TypeScript SDKs, a Vercel AI SDK provider, a CLI for instance and volume management, and an MCP server for controlling the platform from AI assistants
Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider
Instances are billed by the minute rather than rounded up to the hour, past a 20-minute minimum runtime (60 minutes for a 2x AMD MI300X)
NVIDIA instances are typically ready in under two minutes with no approval workflow or provisioning queue
Compute spend across every connected provider is tracked in a single dashboard
Each VM or bare metal instance includes NVMe SSD storage, network bandwidth and full root access, with a dedicated IP on NVIDIA instances
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
Self-service bare-metal GPU instances with root access, custom images and persistent volumes, deployable in about 60 seconds and scalable from 1 to 128 nodes
Reserved bare-metal clusters from 16 to 128+ nodes with NVLink fabric and managed Slurm, aimed at multi-node pre-training and fine-tuning
Published per-million-token input and output rates on every model in the catalog, with no minimum and no commitment
GPU instances metered while running with no minimum commitment — stopping the instance stops the meter
Reserved GPU capacity sized to traffic in exchange for a monthly minimum, priced 40–60% below the public rate card and carrying a 99.9% uptime SLA
Custom contract pricing with bring-your-own-cloud and self-hosted deployments, region pinning, and 99.95%/99.99% SLAs with service credits
Non-interruptible instances covered by an uptime SLA and billed per minute, with no contract or long-term commitment
Idle capacity on the same hardware at up to 50% off dedicated rates, interruptible when the provider reclaims it
Commit to a duration for locked capacity, volume pricing and dedicated support
Quoted deployments from 8 to 512+ GPUs with specific hardware and InfiniBand configurations sourced from partner data centers
Sign up through the console and generate an API key
Fund one balance used by both API calls and GPU hours, optionally with auto-recharge
Point an OpenAI-compatible client at the inference endpoint, or launch a GPU instance from the console or CLI
Browse available GPU models with live pricing and filter by VRAM, architecture or price
Choose a region, storage and OS image, then deploy; instances are provisioned in around two minutes
SSH in and start working, switch to another GPU model at any time, or spin down to stop per-minute billing
Submit requirements for reserved capacity or custom clusters and Spheron sources, negotiates and sets up the deployment
Multi-cloud capacity advertised across North America (Los Angeles, Chicago), Europe (Amsterdam, Frankfurt) and Asia-Pacific (Singapore, Mumbai, Sydney, Tokyo); region pinning to US, EU or APAC is an Enterprise-tier option
Documentation, quickstarts and SDK references; email and community Discord on the self-serve plan; Slack Connect with engineers on Dedicated; named customer success manager and on-call engineering on Enterprise
Capacity sourced from vetted Tier 3/4 partner data centers spanning multiple continents; region is selected at deploy time
Documentation, API reference and changelog at docs.spheron.ai, plus sales contact and call scheduling for reserved capacity and custom cluster quotes