Precision-calibrated inference routing — adaptive model arbitration across every provider
The instant AI model router — adaptive model arbitration in milliseconds.
One OpenAI-compatible endpoint across every provider. InstaRoute routes each request to the best model for cost, latency or quality — you bring your own keys, we never mark up a token.
Everything a gateway should be
OpenAI-compatible
Drop-in /v1/chat/completions. Swap the base URL and key — every existing OpenAI SDK just works.
BYOK, zero markup
Bring your own provider keys. You pay providers directly at list price — we never mark up tokens.
Adaptive model arbitration
Complexity-scored, multi-objective model selection in milliseconds — balances cost, latency and capability headroom per request without static model assignments.
Automatic failover
When a provider degrades or errors, requests re-route to the next best eligible model, transparently.
Savings Autopilot
Prompt-cache-aware routing, a flex tier for work that can wait, and exact + semantic response caching, with every saving itemised per request.
Observability
Per-request logs, cost-vs-baseline savings, provider/model/router breakdowns. Prompt text is never stored.
Swap one line. Keep your SDK.
InstaRoute speaks the OpenAI wire format. Point your client at our base URL, use ask-inf-…key, and ask for a routing goal like auto, cheapest or quality instead of a fixed model.
from openai import OpenAI
client = OpenAI(
base_url="https://api.instaroute.ai/v1",
api_key="sk-inf-…", # your InstaRoute gateway key
)
# Specify a routing objective — the engine arbitrates the optimal model.
resp = client.chat.completions.create(
model="auto",
messages=[{"role": "user", "content": "Summarise the quarterly report."}],
)
print(resp.choices[0].message.content)Start routing in minutes
Create a workspace, connect a provider key, and send your first request through InstaRoute.