Parasail

What it does

Parasail is an inference cloud. You send it prompts or tokenized requests through one OpenAI-compatible API endpoint and it returns model outputs from a library the company describes as 41+ open and frontier models, including GLM, Kimi, DeepSeek, MiniMax, and Qwen families. Teams can also bring their own fine-tuned models, which the site says are supported on an individual basis.

Developers typically call a serverless endpoint for pay-as-you-go per-token access, or contact sales to set up an Elastic endpoint for priority inference on selected models, billed per token at 25% above the model's Serverless rates with dedicated GPU performance. Reserved GPU capacity and batch jobs for high-throughput offline work are also offered. The company stresses lossless serving by default, with any lossy speedup opt-in.

The service suits engineering teams building AI products who want to move off closed-model vendors or avoid multi-year GPU commitments. Access requires signing in to the platform; Elastic endpoints and reserved capacity require contacting sales. Model availability varies by endpoint, and rate limits and capacity depend on the endpoint configuration.

What it can do

• Per-token inference across 41+ open and frontier models via one OpenAI-compatible API
• Serverless endpoints with no minimums and zero setup
• Elastic endpoints with dedicated GPU performance billed per token, no GPU-hour commitment
• Reserved GPU deployments with negotiated SLAs
• Batch processing for high-throughput offline jobs at lower per-token rates
• Lossless-by-default serving with an optimization agent for tuning speed, quality, and cost

Before you choose

• Elastic endpoints support selected models only; availability of a given model must be confirmed with sales.
• Reserved GPU pricing is quote-based and not published per hour on the public pricing page.
• Pricing shown is per 1M tokens and varies by model; check the pricing page rate table for current figures.

Listed under

• Coding
• Sandboxes and infrastructure
• Batch processing
• Developers
• GPU hosting
• Inference
• LLM API
• Open models

Get started

Serverless endpoints need no setup; Elastic endpoints and reserved capacity require contacting sales.

1. Sign in at the Parasail platform and create credentials to access serverless endpoints.
2. Point an OpenAI-compatible client at Parasail's endpoint and select a model from the library.
3. For Elastic endpoints, contact sales to confirm model availability and endpoint configuration.

Serverless is billed per million input/output/cache-read tokens with no minimums. Elastic endpoints are billed per token at 25% above the model's Serverless rates. Reserved GPUs are hourly per GPU, billed by the minute, quote-based. Trial and free tier are not stated. Check the pricing page rate table for current model rates.

Source: parasail.io/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Parasail — The Inference Cloud for AI-native startups ↗www.parasail.io
• About — Parasail ↗www.parasail.io
• Pricing — Parasail ↗www.parasail.io
• Parasail — The Inference Cloud for AI-native startups ↗www.parasail.io
• Contact sales — Parasail ↗www.parasail.io

Company website

parasail.io: product, pricing and policy pages

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.