# Parasail 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. - Findings24: - Site: - Preços: Freemium - Categorias: Plataformas de inferência de IA, Implantação de modelos de IA, API de LLM ## O que é Parasail? 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. ## O que Parasail pode fazer? ### OpenAI-compatible model API Call models through one OpenAI-compatible endpoint instead of building a separate integration for each model. ### 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. ## Casos de uso ### 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. ## Perguntas frequentes ### 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. ## Informações rápidas - **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