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Vynaris

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Reduces model spend by routing routine requests to cheaper models while keeping quality gates and per-request cost transparency.

OpenAI- and Anthropic-compatible API gateway that routes each request to a cheaper model when evaluation evidence supports it, returning a per-request cost receipt.

  • Teams running high-volume agent traffic
  • Developers wanting an OpenAI-compatible routing layer
  • Security teams needing hosted models for lawful testing

Features

  • OpenAI/Anthropic-compatible endpoint
  • Automatic model routing
  • Per-request cost receipts
  • Hosted uncensored models
  • Privacy-restricted providers

Pros

  • OpenAI- and Anthropic-compatible API
  • Per-request cost receipts
  • Hosted uncensored models for authorized testing

Cons

  • Uncensored models are limited to the higher plans
  • No free tier

Overview

Vynaris is a gateway that sits between an application and multiple large language models. It is compatible with the OpenAI and Anthropic APIs, so adoption is a base-URL change. Each request starts with a frontier-quality model and is routed down to a cheaper one only when evaluation evidence supports it for that task.

Key features

  • OpenAI- and Anthropic-compatible API (change the base URL)
  • Automatic routing with escalation when a smaller model is not sufficient
  • Per-request receipts showing the served model, its cost, and the baseline price
  • A hosted pool of uncensored models for authorized security testing
  • Privacy-restricted providers and no training on customer data

Who it is for

Teams running high-volume agent or automation traffic who want to reduce model cost without changing their code, and security teams that need hosted models for lawful testing.

Pricing

Plans start at $20 per month, which becomes API credit. Unused credit rolls over and usage stops at zero rather than creating an overage charge.

Frequently asked questions

Do I have to change my code?

No. It is compatible with the OpenAI and Anthropic SDKs; you change the base URL and set the model to auto.

How is the saving verified?

Every response carries headers with the served model, the cost, and the baseline price, which can be exported as a ledger and recomputed.

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