AI Infrastructure & MLOps Paid

Parasail

Affordable serverless, dedicated, and batch inference for open AI models

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PricingPaid
Starting price$0.01/MTok
Free planUnknown
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedAugust 1, 2026
Overview

Tool overview

Parasail is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Parasail?

Parasail aggregates cloud GPU capacity and provides serverless model endpoints, dedicated GPU deployments, and discounted batch inference. Developers can access open models through APIs while Parasail manages hardware sourcing, scaling, and billing.

Best fit

Best for

AI developers seeking low-cost open-model inference across serverless and dedicated GPUs

Audience

Who is it for?

AI application developersInference infrastructure teamsMachine learning engineersOpen-model startupsBatch-processing teams
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Token-priced serverless endpoints for many open models

Dedicated GPUs with configurable autoscaling

Batch inference discounted from serverless rates

Cached-token discounts for supported workloads

Organization billing, API keys, and usage thresholds

Enterprise support and custom compute configurations

Workflows

Use cases

Serving open language models through APIs

Running dedicated GPU inference

Processing asynchronous batch workloads

Reducing inference cost with cached tokens

Scaling model endpoints without sourcing hardware

Strengths

Pros

  • Publishes detailed model and parameter pricing
  • Supports serverless, dedicated, and batch workloads
  • Offers low-cost entry rates for embeddings and small models
  • Organization-level usage and billing controls
Considerations

Limitations

Inference cost, latency, model quality, and availability vary by endpoint and GPU fleet. Developers should validate rate limits, model licenses, output quality, scaling, billing thresholds, and production fallbacks.

Cost

Pricing details

Pricing modelPaid
Starting price$0.01/MTok
Free planUnknown
Free trialYes
Pricing context

Billing options

Per-million-token serverless pricingPer-hour dedicated GPU pricingDiscounted batch pricingArrears billing thresholds
Pricing context

Pricing note

Serverless pricing begins at $0.01 per million tokens for a published embedding endpoint, while generation models use higher input and output rates. Batch is generally 50% below serverless, and dedicated instances are billed by GPU hour. A card is normally required for active access.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

OpenAI-compatible clients

REST API

Open-weight models

Cloud GPU providers

Specs

Technical details

PlatformsWeb, API
Multilingual supportYes
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyParasail
Launch year2023
Models / versionsDeepSeek Gemma GLM GPT-OSS Llama Qwen Kimi
Editions / plansServerless Dedicated Batch Enterprise
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Parasail aggregates cloud GPU capacity and provides serverless model endpoints, dedicated GPU deployments, and discounted batch inference. Developers can access open models through APIs while Parasail manages hardware sourcing, scaling, and billing.
AI developers seeking low-cost open-model inference across serverless and dedicated GPUs
The listed pricing model for Parasail is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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