What is the difference between AkashML and Groq?

AkashML 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: AkashML 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 AkashML 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.

AkashML vs Groq

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

AkashML

Provider 1

Models Available

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Groq

Provider 2

Models Available

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Comparison Overview

Total LLM Models

AkashML Models

Groq Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 7Both available: 3AkashML: 7Groq: 3

Showing 7 of 7 models

Prices per 1M tokens · Last updated: 11/13/2026, 4:06:01 AM

Model ↑	AkashML	Groq	Input Diff ↕
GLM-5.3 Z.ai	$0.190 in $4.40 out	Not available	—
GPT-OSS-120B OpenAI	$0.037 in $0.187 out	$0.150 in $0.600 out	$0.113
GPT-OSS-20B OpenAI	$0.018 in $0.090 out	$0.075 in $0.300 out	$0.057
Kimi K3.1 Pro Moonshot AI	$1.75 in $10.00 out	Not available	—
Llama 3.3 70B Meta	$0.200 in $0.520 out	Not available	—
Qwen3.6 35B A3B Alibaba	$0.100 in $0.900 out	Not available	—
Qwen3.8 27B Alibaba	$0.225 in $1.98 out	$0.800 in $4.00 out	$0.575

Features Comparison

AkashML

Decentralized Infrastructure
Utilizes Akash's global resources for AI inference.
Low Latency
Optimized for fastest request times with global reach.
Open Model Lifecycle
Users have control over updates and upgrades.
Seamless Migration
Drop-in API compatibility for easy transitions.
Direct Support
Real-time assistance from engineers without intermediaries.

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

AkashML

Advantages

Global infrastructure for reduced latency
Decentralized network may offer cost efficiency
Flexible deployment options at scale
User control over model lifecycle and upgrades

Considerations

Limited availability of specific models
Dependency on the Akash Network for performance
Initial setup may require some technical knowledge

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

AkashML

Groq

Pricing Options

AkashML

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

AkashML

Get Started

1
Sign up
Create a free account on the AkashML platform.
2
Set up your workflow
Select models and deploy with a single click or API call.
3
Run inference
Send requests via API or Playground, adjusting scale as needed.

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

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

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