Msairelay gateway details

A relay service for GPT and Claude calls; public info emphasizes transparent pricing and response speed.

Best for: For individual developers who need GPT/Claude relay and are willing to test with small amounts first.

Current status

Test yourself

Latency reference

Depends on your deployment

/models check

See the platform docs

Last verified

Not verified yet

Status notes

Test plain responses, streaming, error codes, and rate limits yourself before launch.

Pricing mode

Specific multipliers, available models, and billing rules per the platform dashboard.

Price tags

Low cost, Pay-as-you-go

Free quota

Subject to platform promotions.

Usually you create an API key in the platform console, then replace the SDK's baseURL, model name, and auth details per the docs. Test streaming, function calling, error codes, and rate limits before launch.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: "see the platform docs"
});

const response = await client.chat.completions.create({
  model: "gpt-4.1-mini",
  messages: [{ role: "user", content: "Test one call through an AI gateway." }]
});

• Supported models: OpenAI, Claude.
• Capabilities: OpenAI-compatible, Streaming, Balance query.
• Documentation completeness: Low; editorial stability score 3.5 / 5.

• Public info is limited; first verify model names, error codes, log policy, and whether failed requests are billed.
• Third-party relay pricing, models, and availability can change, so re-check them periodically.

Is Msairelay compatible with the OpenAI API?

This entry is marked as supporting the OpenAI-compatible format, but the exact base_url, model names, and parameters still follow the official docs.

Is Msairelay ready for production?

Run a small-traffic load test, rate-limit test, and error-code test first, and confirm the billing rules; keep a backup provider for important workloads.