What is the difference between Deep Infra and Groq?

Deep Infra and Groq 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 Groq?

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 Groq?

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 1 different GPU models across both Deep Infra and Groq, with 0 models available from both providers.

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Deep Infra vs Groq

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

Deep Infra

Provider 1

GPUs Available

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Groq

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Deep Infra GPUs

Groq GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0Deep Infra: 1Groq: 0

Showing 1 of 1 GPUs

Last updated: 9/10/2026, 7:16:06 AM

GPU Model ↑	Deep Infra Price	Groq Price	Price Diff ↕	Sources
B200 180GB VRAM • Deep Infra	$3.69/hr★ Best	Not Available	—	Deep Infra
B200 180GB VRAM • Deep Infra $3.69/hour Updated: 9/10/2026 ★Best Price Not Available Deep Infra

B200 180GB VRAM • Deep Infra	$3.69/hr★ Best	Not Available	—	Deep Infra
B200 180GB VRAM • Deep Infra $3.69/hour Updated: 9/10/2026 ★Best Price Not Available Deep Infra

LLM API Pricing Comparison

Total models: 77Both available: 4Deep Infra: 77Groq: 4

Showing 15 of 77 models

Prices per 1M tokens · Last updated: 9/10/2026, 7:16:06 AM

Model ↑	Deep Infra	Groq	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 Sonnet 4.6 Anthropic	$3.00 in $15.00 out	Not available	—
Claude Sonnet 5 Anthropic	$3.00 in $15.00 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	—
DeepSeek V4 Pro DeepSeek	$1.30 in $2.60 out	Not available	—
Gemini 2.5 Flash Google	$0.300 in $2.50 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

Groq

LPU-Powered Inference
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
OpenAI-Compatible API
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
Layered Platform
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Multimodal Endpoints
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Agentic Systems and Built-In Tools
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Service Tiers
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference

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

Groq

Advantages

High published token speeds (500 t/s on GPT-OSS 120B, 1,000 t/s on GPT-OSS 20B)
OpenAI-compatible API for easy integration
Competitive pricing for open-weight models
Free tier available for testing

Considerations

Small model catalog: production text models are limited to OpenAI GPT-OSS
Focus on inference only - no training capabilities
Several models are preview-only and may be discontinued at short notice

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

Groq

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

Groq

Pay-per-token

Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character

Batch and flex processing

Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier

Enterprise capacity

Dedicated capacity and enterprise-only models quoted through sales

Free tier

Rate-limited free access for development and testing

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

Groq

Get Started

1
Create an account
Sign up at console.groq.com with email or OAuth
2
Get API key
Generate an API key from the console dashboard
3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model

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.

Groq

Global Regions

13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia

Support

Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales