Cost Leadership
Cost-Efficient by Design
Enterprise-scale, real-time inference at a fraction of the cost. KV-cache reuse, intelligent scheduling, and load planning cut inference cost per token by design
One API. Every Model.
Enterprise-Grade Real-Time Inference.
The Model-as-a-Service platform unifying closed and open-source LLMs behind one OpenAI-compatible API — built for low latency, high throughput, and the lowest cost
START NOW →70+ models, 6 modalitiesOpenAI-compatibleSecurity review available
New models, live on day one.
70+ models across language, image, video, audio, code, and embeddings, closed and open, reachable from the key you already have.
One key. One schema. However you use it
VIEW ALL MODELS →Same Models. Lower
Inference Cost.
Zero Vendor Lock-in
True API Portability
One OpenAI-compatible API, zero code changes to switch models. Mix Claude, GPT, DeepSeek, and open-source models in the same application.
Cost Optimization
One Invoice, Lower Spend
70+ models, one invoice, no hidden fees — with discounted rates on the most popular models.
Beyond Routing. Built for
Production
Inferel MaaS is the unified delivery layer behind reliable, production-grade
AI — not just another API router.
Real-Time Inference Performance
Sub-100ms latency
KV-cache reuse, speculative decoding, and multi-GPU scheduling for real-time inference.
Elastic autoscaling
From a single request to millions in a batch, with zero capacity planning.
Smart routing profiles
Optimize each call for latency, throughput, or cost — your choice, per request.
Enterprise Reliability
Enterprise SLA guarantee
Backed by geo-redundant infrastructure and real-time monitoring.
Health-aware failover
Automatic rerouting on outage. No single point of failure.
Rate limits & SLA tiers
Per-key, per-org controls with guaranteed capacity and cost caps.
API & Model Flexibility
OpenAI-compatible
Drop-in replacement, existing SDKs work unchanged.
Instant model switching
Swap models with one string, no re-integration.
70+ models, every modality
Proprietary (GPT, Claude, Gemini), open-source (Qwen, DeepSeek, Mixtral), plus video, audio, and image.
Security & Observability
Zero data retention
Inference data is never logged or retained.
Security review support
Discuss data handling and regional requirements with our team.
Full request tracing
Latency, tokens, and spend, per request, in one dashboard.
FAQ
Is Inferel OpenAI-compatible?
One OpenAI-compatible API, zero code changes to switch models. Drop-in replacement,
existing SDKs work unchanged.
How does "real-time inference" differ from standard API latency?
Sub-100ms latency. KV-cache reuse, speculative decoding, and multi-GPU scheduling for
real-time inference.
What's included in "zero data retention"? Does Inferel log my inference requests?
Inference data is never logged or retained.
Do routing profiles change the output?
Optimize each call for latency, throughput, or cost — your choice, per request. Talk to us about routing profiles.
How does billing work across multiple models?
70+ models, one invoice, no hidden fees — with discounted rates on the most popular
models.