What is the difference between Deep Infra and Thunder Compute?

Deep Infra and Thunder Compute are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Deep Infra or Thunder Compute?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Deep Infra and Thunder Compute?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 6 different GPU models across both Deep Infra and Thunder Compute, with 0 models available from both providers.

Deep Infra vs Thunder Compute

Compare GPU and LLM inference API pricing between Deep Infra and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.

Deep Infra

Provider 1

GPUs Available

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Thunder Compute

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Deep Infra GPUs

Thunder Compute GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 6Both available: 0Deep Infra: 1Thunder Compute: 5

Showing 6 of 6 GPUs

Last updated: 10/3/2026, 10:37:26 PM

GPU Model ↑	Deep Infra Price	Thunder Compute Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Thunder Compute	Not Available	$1.09/hr★ Best	—	Thunder Compute
A100 SXM 80GB VRAM • Not Available Thunder Compute $1.09/hour Updated: 10/3/2026 ★Best Price Thunder Compute
B200 180GB VRAM • Deep Infra	$3.69/hr★ Best	Not Available	—	Deep Infra
B200 180GB VRAM • Deep Infra $3.69/hour Updated: 10/3/2026 ★Best Price Not Available Deep Infra
H100 PCIe 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 PCIe 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 9/29/2026 ★Best Price Thunder Compute
H100 SXM 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 SXM 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 10/3/2026 ★Best Price Thunder Compute
L40 40GB VRAM • Thunder Compute	Not Available	$0.79/hr★ Best	—	Thunder Compute
L40 40GB VRAM • Not Available Thunder Compute $0.79/hour Updated: 10/3/2026 ★Best Price Thunder Compute
RTX A6000 48GB VRAM • Thunder Compute	Not Available	$0.35/hr★ Best	—	Thunder Compute
RTX A6000 48GB VRAM • Not Available Thunder Compute $0.35/hour Updated: 10/3/2026 ★Best Price Thunder Compute

A100 SXM 80GB VRAM • Thunder Compute	Not Available	$1.09/hr★ Best	—	Thunder Compute
A100 SXM 80GB VRAM • Not Available Thunder Compute $1.09/hour Updated: 10/3/2026 ★Best Price Thunder Compute
B200 180GB VRAM • Deep Infra	$3.69/hr★ Best	Not Available	—	Deep Infra
B200 180GB VRAM • Deep Infra $3.69/hour Updated: 10/3/2026 ★Best Price Not Available Deep Infra
H100 PCIe 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 PCIe 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 9/29/2026 ★Best Price Thunder Compute
H100 SXM 80GB VRAM • Thunder Compute	Not Available	$3.20/hr★ Best	—	Thunder Compute
H100 SXM 80GB VRAM • Not Available Thunder Compute $3.20/hour Updated: 10/3/2026 ★Best Price Thunder Compute
L40 40GB VRAM • Thunder Compute	Not Available	$0.79/hr★ Best	—	Thunder Compute
L40 40GB VRAM • Not Available Thunder Compute $0.79/hour Updated: 10/3/2026 ★Best Price Thunder Compute
RTX A6000 48GB VRAM • Thunder Compute	Not Available	$0.35/hr★ Best	—	Thunder Compute
RTX A6000 48GB VRAM • Not Available Thunder Compute $0.35/hour Updated: 10/3/2026 ★Best Price Thunder Compute

LLM API Pricing Comparison

Total models: 75Both available: 0Deep Infra: 75Thunder Compute: 0

Showing 15 of 75 models

Prices per 1M tokens · Last updated: 10/3/2026, 10:37:26 PM

Model ↑	Deep Infra	Thunder Compute	Input Diff ↕
Claude Fable 5 Anthropic	$10.00 in $50.00 out	Not available	—
Claude Haiku 4.5 Anthropic	$1.00 in $5.00 out	Not available	—
Claude Opus 4.7 Anthropic	$5.00 in $25.00 out	Not available	—
Claude Opus 4.8 Anthropic	$5.00 in $25.00 out	Not available	—
Claude Opus 5 Anthropic	$5.00 in $25.00 out	Not available	—
Claude Opus 5.5 Anthropic	$4.00 in $20.00 out	Not available	—
Claude Sonnet 4.6 Anthropic	$3.00 in $15.00 out	Not available	—
Claude Sonnet 5 Anthropic	$3.00 in $15.00 out	Not available	—
Claude Sonnet 5.5 Anthropic	$2.00 in $10.00 out	Not available	—
DeepSeek R1 DeepSeek	$0.500 in $2.15 out	Not available	—
DeepSeek V3 DeepSeek	$0.320 in $0.890 out	Not available	—
DeepSeek V3.1 DeepSeek	$0.250 in $0.950 out	Not available	—
DeepSeek V3.2 DeepSeek	$0.260 in $0.380 out	Not available	—
DeepSeek V4 Flash DeepSeek	$0.060 in $0.180 out	Not available	—
DeepSeek V4 Flash Vision DeepSeek	$0.440 in $1.32 out	Not available	—

Features Comparison

Deep Infra

Drop-in OpenAI Replacement
OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling
Dedicated GPU Rentals
B200 instances with SSH access spin up in about 10 seconds and bill hourly
Custom LLM Deployments
Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs
Transparent GPU Pricing
Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing
Owned Inference Infrastructure
Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity
Comprehensive AI APIs
Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis

Thunder Compute

Rapid deployment
Spin up a dedicated cloud GPU in seconds.
Flexible configurations
Customize vCPUs, RAM, and storage.
Networking
Supports 7-10 Gbps networking speeds.
Development tools
Integrated VS Code extension for easier development.
Snapshot capabilities
Ability to take snapshots for later use.

Pros & Cons

Deep Infra

Advantages

Simple OpenAI-compatible API alongside controllable GPU rentals
Competitive hourly rates for flagship NVIDIA GPUs including latest B200 and B300
Fast provisioning with SSH access for dedicated instances (ready in ~10 seconds)
Supports custom deployments in addition to hosted public models

Considerations

Infrastructure is US-based only, with no published international regions
Primarily focused on inference and GPU rentals rather than broader cloud services
Newer player compared to established cloud providers

Thunder Compute

Advantages

User-friendly interface
Quick scaling options
Integrated development environment

Considerations

Limited availability in regions
Potential performance variability depending on load

Compute Services

Deep Infra

Serverless Inference

Hosted model APIs with autoscaling on Deep Infra's own inference infrastructure.

Drop-in OpenAI replacement - swap base URL, keep existing code
100+ models including the DeepSeek V4, Qwen 3.7, Llama 4, Claude 5, Gemini 3.5, Gemma 4, GLM-5, Kimi K2.7, and Nemotron 3 families

Dedicated GPU Instances

On-demand GPU nodes with SSH access for custom workloads.

GPU Clusters

Multi-node B200 and B300 clusters with SSH access for training and full-control workloads.

Rent a B200 or B300 cluster and run arbitrary workloads
On-demand DGX B300 configurations billed per instance-hour

Thunder Compute

Pricing Options

Deep Infra

Serverless pay-per-token

OpenAI-compatible inference APIs billed per input and output token, with no idle GPU time or minimums

Dedicated GPU hourly rates

Published transparent hourly pricing for A100, H100, H200, B200, and B300 GPUs with pay-as-you-go billing

Per-execution-time billing

Non-LLM models are billed for inference execution time rather than per token

Cached input pricing

Prompt-cached input tokens are billed at a lower rate than uncached input tokens

No long-term commitments

Flexible hourly billing for dedicated instances with no prepayments, contracts, or minimums required

Thunder Compute

Getting Started

Deep Infra

Get Started

1
Create an account
Sign up (GitHub-supported) and open the Deep Infra dashboard
2
Enable billing
Add a payment method to unlock GPU rentals and API usage
3
Pick a GPU option
Choose serverless APIs or dedicated A100, H100, H200, B200, or B300 instances
4
Launch and connect
Start instances with SSH access or call the OpenAI-compatible API endpoints
5
Monitor usage
Track spend and instance status from the dashboard and shut down when idle

Thunder Compute

Get Started

1
Create an account
Sign up for an account on the Thunder Compute platform.
2
Choose a template
Select a pre-built template for your AI workflow.
3
Customize your setup
Adjust the vCPUs, RAM, and storage as necessary.
4
Launch your instance
Start your GPU instance with a single click.
5
Connect to your environment
Use the VS Code extension to access your persistent environment.

Support & Global Availability

Deep Infra

Global Regions

Runs on self-operated, inference-optimized infrastructure in US-based data centers; no international region list is published.

Support

Documentation site, dashboard guidance, Discord community, feedback email (feedback@deepinfra.com), and contact-sales options.

Thunder Compute

Global Regions

Available in the US and possibly other regions.

Support

24/7 support via email and chat.