What is the difference between AkashML and Prime Intellect?

AkashML and Prime Intellect 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 Prime Intellect?

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 Prime Intellect?

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 Prime Intellect

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

AkashML

Provider 1

Models Available

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Prime Intellect

Provider 2

106

Models Available

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Comparison Overview

106

Total LLM Models

AkashML Models

106

Prime Intellect Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 106Both available: 7AkashML: 7Prime Intellect: 106

Showing 15 of 106 models

Prices per 1M tokens · Last updated: 11/13/2026, 6:03:33 AM

Model ↑	AkashML	Prime Intellect	Input Diff ↕
Claude Fable 5 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Fable 5.1 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Fable 5.2 Anthropic	Not available	$8.00 in $40.00 out	—
Claude Haiku 4.5 Anthropic	Not available	$1.00 in $5.00 out	—
Claude Opus 4.1 Anthropic	Not available	$15.00 in $75.00 out	—
Claude Opus 4.5 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.6 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.7 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.8 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 5 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 5.5 Anthropic	Not available	$4.00 in $20.00 out	—
Claude Sonnet 4.5 Anthropic	Not available	$3.00 in $15.00 out	—
Claude Sonnet 4.6 Anthropic	Not available	$3.00 in $15.00 out	—
Claude Sonnet 5 Anthropic	Not available	$2.00 in $10.00 out	—
Claude Sonnet 5.5 Anthropic	Not available	$2.00 in $10.00 out	—

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.

Prime Intellect

Multi-provider GPU access
On-demand access to 1 to 256 GPUs sourced from many clouds, managed from one dashboard, CLI, and API
Reserved clusters
Large-cluster requests sent to 50+ data centers for parallel quotes, from H100 and H200 to B200, B300, and GB300 NVL72
Prime Intellect Inference
OpenAI-compatible API for hosted open-weight models and gateway access to OpenAI, Anthropic, Google, xAI, and other model families, billed per token
Hosted RL training
Lab runs reinforcement-learning post-training against environments from the Environments Hub, with LoRA adapters deployable for inference
Orchestration and networking
SLURM and Kubernetes orchestration, InfiniBand networking, and Grafana monitoring for clusters
Spot resale
Idle reserved nodes can be put on Prime Intellect's spot market

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

Prime Intellect

Advantages

One account for GPUs across many underlying providers
Per-token inference rates are published through a public models endpoint
Inference, training, and GPU rental on the same platform
Publishes open-source models, datasets, and RL tooling

Considerations

GPU rates are only available after sign-in through the availability API, so they are not tracked here
As an aggregator, hardware, networking, and support depend on the underlying provider
Gateway models are routed to other inference providers rather than served on Prime Intellect's own hardware

Compute Services

AkashML

Prime Intellect

Pricing Options

AkashML

Prime Intellect

On-demand GPUs

Hourly rates set per underlying provider, with community and spot tiers where available

Reserved clusters

Quoted per request from participating data centers

Per token

Inference billed per 1M input and output tokens, with cached-input rates on hosted models

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.

Prime Intellect

Get Started

1
Create an account
Sign up at app.primeintellect.ai
2
Rent GPUs
Pick a GPU type, count, and provider from the availability list, then provision from the dashboard or the prime CLI
3
Call the inference API
Create an API key and point an OpenAI-compatible client at api.pinference.ai

Support & Global Availability

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

Prime Intellect

Support

Documentation, plus direct assistance from the research and infrastructure engineering team and a dedicated solutions engineer for reserved-cluster customers