OpenAI-compatible model API
Call models through one OpenAI-compatible endpoint instead of building a separate integration for each model.
Parasail
Freemium
Parasail is an inference cloud for AI-native startups that provides access to open and frontier models through an OpenAI-compatible API. It offers serverless, elastic, dedicated, and batch deployment options with per-token or GPU-based pricing.
Parasailとは？
Parasail is an inference cloud for AI-native startups and teams that need to run open or frontier models in production. It provides a single OpenAI-compatible endpoint for a model library spanning reasoning, coding, vision, compact, embedding, audio, and agent workloads.
The platform supports several operating models: pay-as-you-go serverless endpoints, elastic endpoints for selected models, reserved dedicated deployments, and batch processing for large offline jobs. Pricing can be based on input, output, and cached tokens, while dedicated deployments are billed by GPU usage and negotiated capacity options are available through sales.
Parasail also supports model evaluation and deployment customization. The site lists more than 40 available models, and users can contact the team about fine-tuned or specialized models, custom architectures, sidecar containers, and workload-specific configurations.
Parasailでできること
Broad open-model catalog
Browse more than 40 listed models across reasoning, coding, vision, compact, embedding, audio, and agent categories, with additional access to more than 2 million open models through serverless endpoints.
Multiple deployment modes
Choose among serverless endpoints, elastic endpoints for selected models, reserved dedicated deployments, and batch processing for offline jobs.
Per-token and GPU-based pricing
Serverless, elastic, and batch options use token-based pricing, while dedicated deployments use reserved GPUs billed by the minute according to the pricing page.
Deployment optimization
An optimization agent can tune a deployment toward a selected balance of speed, quality, and cost. Lossless operation is the default, and lossy speedups are opt-in.
Custom model support
Parasail invites teams to discuss specialized or fine-tuned models, custom architectures, sidecar containers, and custom configurations.
利用シーン
“Production application inference”
Use a serverless or elastic endpoint to add open-model inference to an AI product without committing to a fixed GPU-hour capacity. Elastic endpoints are available for selected models and are set up through sales.
“Model evaluation and selection”
Browse and compare models by category and call them through the same API while testing tradeoffs among capability, speed, and token cost for a workload.
“High-throughput offline jobs”
Run large evaluation, embedding, or other batch workloads using batch capacity, which the pricing page positions as the lowest per-token option for millions of requests per job.
“Specialized and customized deployments”
Contact Parasail when a team needs a fine-tuned or specialized model, custom architecture, sidecar container, or configuration that is not covered by the standard catalog.
“Reducing dependence on a closed provider”
Run open-source models on dedicated infrastructure alongside an existing closed-model setup, then evaluate which workloads can be migrated based on the team's requirements.
よくある質問
How do users access Parasail models?
Parasail provides one OpenAI-compatible API endpoint. The models page lets users browse the catalog, filter by category, and compare specifications before selecting a model.
Which deployment options are available?
The site lists serverless endpoints, elastic endpoints for selected models, reserved dedicated deployments, and batch processing. Elastic and custom setups require contacting Parasail for availability and configuration.
How is Parasail priced?
Serverless access is priced per input, output, and cached token with no minimums listed. Elastic endpoints are listed at 1.25 times the model's Serverless input and output token rates. Dedicated deployments use reserved GPU pricing, and batch jobs have separate discounted token rates.
Can Parasail run a fine-tuned or custom model?
The site says teams can contact Parasail about specialized or fine-tuned models, custom architectures, sidecar containers, and custom configurations. Availability and setup details depend on the workload.
Does Parasail provide security documentation?
Parasail states that it has completed a SOC 2 Type II examination covering the Security Trust Services Criteria. Its trust page provides a way to request the report.
クイック情報
- Product type
- AI inference cloud
- API
- One OpenAI-compatible endpoint
- Model catalog
- 40+ listed open and frontier models
- Model categories
- Reasoning, coding, vision, compact, embeddings, audio, and agents
- Deployment options
- Serverless, elastic, dedicated, and batch
- Security assurance
- SOC 2 Type II examination completed
Parasailの代替品
ModelArk
www.byteplus.com
ModelArk is BytePlus's one-stop large language model service platform for organizations building, deploying, and scaling AI applications. It is positioned within BytePlus's broader AI-native cloud portfolio.
FriendliAI
friendli.ai
FriendliAI is an inference cloud for deploying frontier open-weight and custom AI models in production. It offers serverless Model APIs, dedicated GPU endpoints, and BYOG options for agent, multimodal, and other high-throughput workloads.
AIMLAPI
aimlapi.com
AIMLAPI provides one API and billing key for accessing a catalog of AI models for chat, reasoning, image, video, audio, voice, search, embeddings, code, and related tasks. It is intended for developers and teams that want to compare and use models from multiple providers through a common platform.
SambaNova Cloud
cloud.sambanova.ai
SambaNova Cloud is an AI inference platform that provides API access to open-source language and vision models. Developers can use its OpenAI-compatible API, playground, and model catalog to build and test AI-powered applications.
IBM watsonx.ai
www.ibm.com
IBM watsonx.ai is an enterprise AI development studio for building predictive, prescriptive, and generative AI solutions. It supports AI builders, data scientists, and developers across model development, customization, retrieval-augmented generation, deployment, and lifecycle management.
Together AI
together.ai
Together AIは推論、ファインチューニング、GPUクラスター、サンドボックス、マネージドストレージに対応するAIクラウドプラットフォームです。