Unified, production-grade OpenAI-compatible API gateway. Deliver sub-100ms TTFT with autonomous edge routing, KV-prompt caching, and deterministic rate-limiting across 100+ frontier LLMs.
Zero markup on foundational weights. Dynamic cost optimization enabled by automated KV prompt caching.
| Model & Specification | Category | Context | Input / 1M | Output / 1M | TTFT | Cluster Availability |
|---|---|---|---|---|---|---|
|
GPT-4o Multimodal Omni
OpenAI • v2024-11
|
Multimodal | 128k | $2.50 | $10.00 | 140 ms | Operational |
|
Claude 3.5 Sonnet
Anthropic • Frontier Reasoning
|
Code & Logic | 200k | $3.00 | $15.00 | 165 ms | Operational |
|
DeepSeek V3 (MoE 671B)
DeepSeek • Multi-Head Latent Attention
|
MoE LLM | 64k | $0.14 | $0.28 | 98 ms | Operational |
|
Llama 3.3 70B Instruct
Meta AI • Open Foundation Weights
|
High Throughput | 128k | $0.20 | $0.40 | 110 ms | Operational |
|
Flux.1 Pro Diffusion
Black Forest Labs • Rectified Flow
|
Diffusion | 4k | $40.00 | $40.00 | 420 ms | Operational |
Estimate monthly inference budgets and see direct savings realized by Aetheris KV-cache compression.
Drop-in replacement for OpenAI endpoints. Simply update your client base_url to route requests through our accelerated global edge network.
openai-python and openai-node
Strict tenant isolation, zero-trust cryptographic guarantees, and multi-cloud resilience.
No customer prompts, inputs, or generated completions are ever persisted to disk or utilized for downstream model training.
Dynamic latency probes continually benchmark upstream inference provider endpoints to route queries with lowest TTFT.
Set strict per-key rate limits, monthly hard spending caps, and automated webhook alerts for anomaly detection.
Global edge distribution across Frankfurt, Tallinn, Warsaw, Helsinki, and Ashburn with automatic failover.