DeepInfra gateway details

An overseas open-model API platform focused on lower-cost inference for Llama, Qwen, Mixtral, and similar models.

Best for: For developers cost-sensitive about open models who need an overseas inference API.

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

Billed per model and token usage; prices vary widely across open models.

Price tags

Low cost, Pay-as-you-go

Free quota

Refer to the official dashboard.

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: "Llama",
  messages: [{ role: "user", content: "Test one call through an AI gateway." }]
});

• Supported models: Llama, Qwen.
• Capabilities: OpenAI-compatible, Streaming.
• Documentation completeness: High; editorial stability score 4.1 / 5.

• Limited closed-model coverage; before production verify rate limits, availability zones, and billing of failed requests.
• Third-party relay pricing, models, and availability can change, so re-check them periodically.

Is DeepInfra 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 DeepInfra 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.