Every model, one endpoint
Browse 37+ open and frontier models on Parasail's inference cloud. Filter by category, compare specs, and call any model with one OpenAI-compatible API.
Qwen3.6 35B-A3B
Efficient MoE model with 3B active parameters — great price-to-performance.
MiniMax M3
Highly efficient MoE model delivering strong reasoning at exceptionally low cost.
Gemma 4 31B
Google's latest open model with strong general performance and broad language support.
GPT-oss-120b
OpenAI's open-weight model with strong reasoning at a low cost.
Get performance tuned to your needs
Strike your own balance of speed, quality, and cost and an optimization agent tunes your deployment to hit it. Lossless by default, with no hidden quantization. Any lossy speedup is yours to opt into.
Commit to spend, not GPUs
Flexible drawdown billing burns one commitment across any model or hardware and lets you scale up or down freely. Our compute reserve absorbs spikes in real time, so you never pay for idle GPUs.
Capacity that follows demand
Elastic Endpoints scale with your actual traffic — no idle GPUs during the lulls, no degraded performance at peak. Get the performance of dedicated, while you only pay for the tokens that you use.
Fixed capacity means guessing
Forecast high and you're paying for GPUs sitting idle. Forecast low and you're throttling requests right when demand peaks. Either way, you're locked into a number that rarely matches reality.
One API for any model
One endpoint, any model — frontier open models and your own fine-tunes, day zero.
Engineering notes &
inference deep dives
How we run open models fast, cheap, and at scale — plus product updates and the economics of serving inference in production. Written by the team behind the infrastructure.
How Parasail built one AI agent for inference operations
The hard part wasn’t putting an AI agent in Slack. It was embedding trusted sources, reviewed calculations, and safe inference-operations workflows.
Building sub-second LLM inference for global AI traffic
A fast model isn’t a fast API. We worked backward from a 600ms p99 budget with Cloudflare Workers at the edge and WireGuard to the GPU.
Prefill vs. decode in LLM inference
Understand how prefill and decode shape time to first token, streaming performance, KV-cache pressure, and LLM serving decisions.
Your questions, answered.
We're paying a closed-model vendor directly. Can we switch?
Yes — one of the most common reasons teams come to us. Parasail runs open-source models on dedicated infrastructure, giving you the same capability without single-vendor dependency, rate limits, or throttling. Most teams run Parasail alongside their existing setup first, then migrate workloads over.
Are the models as capable as Claude or GPT for my use case?
For most production use cases, yes — and for some, better. The best open models (Llama, DeepSeek, Qwen, Kimi) have closed the gap, and for domain-specific tasks a well-tuned open model often outperforms a general closed one. We'll run a side-by-side PoC on your actual workload before you commit to anything.
Can I use specialized or fine-tuned models?
Yes. Any model on Hugging Face is deployable — including fine-tunes, custom architectures, and sidecar containers. We run specialized models for reranking, OCR, vision, voice, and retrieval all on the same platform, so you don't need a separate vendor per modality.
If something breaks, can I talk to a person who'll fix it?
From day one you get a shared Slack channel with your dedicated solutions engineer and our performance team — not a ticket queue. When something breaks, you're talking directly to the engineers who run your deployment. Response time is measured in minutes, not days.
How fast can we get up and running?
Optimized endpoints are typically live the same day — many customers integrate right after the first call. No legal back-and-forth — just a standard ZDR and SLA agreement. You pick a workload, we configure and deploy. The complexity stays on our side.
Why not just self-host?
Self-hosting looks cheaper until you account for MLOps headcount (two to three engineers), idle GPU burn, scaling complexity, and constant maintenance as models evolve. Parasail gives you the control of self-hosting — any model, any configuration — without the operational burden or capital commitment.
Start building today
Instantly run any open model — popular or specialized.