DeepInfra Native API

The DeepInfra Native API gives you access to every model we provide, including model types not covered by the OpenAI-compatible API: image generation, speech recognition, and zero-shot image classification. For LLMs and embeddings, the OpenAI-compatible API is simpler and recommended. Use the native API when you need model types beyond LLMs/embeddings, or when you need features like webhooks or log probabilities. The base endpoint is:

https://api.deepinfra.com/v1/inference/{model_name}

JavaScript client

npm install deepinfra

Text Generation (LLMs)

This endpoint takes a raw prompt — it does not apply the model’s chat template. Pass pre-formatted text, or use the OpenAI-compatible chat API, which applies the template for you. Each model’s page lists its chat template.

import { TextGeneration } from "deepinfra";

const client = new TextGeneration(
  "https://api.deepinfra.com/v1/inference/deepseek-ai/DeepSeek-V4-Flash-0731",
  "$DEEPINFRA_TOKEN"
);

const res = await client.generate({
  input: "The capital of France is",
  max_new_tokens: 20
});

console.log(res.results[0].generated_text);
console.log(res.num_input_tokens, res.num_tokens);

curl "https://api.deepinfra.com/v1/inference/deepseek-ai/DeepSeek-V4-Flash-0731" \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
   -d '{
     "input": "The capital of France is",
     "max_new_tokens": 20,
     "stream": false
   }'

Embeddings

import { Embeddings } from "deepinfra";

const client = new Embeddings("Qwen/Qwen3-Embedding-8B", "$DEEPINFRA_TOKEN");
const output = await client.generate({
  inputs: [
    "What is the capital of France?",
    "What is the capital of Germany?",
  ],
});
console.log(output.embeddings[0]);

curl -X POST \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -F 'inputs=["I like chocolate"]' \
    'https://api.deepinfra.com/v1/inference/Qwen/Qwen3-Embedding-8B'

Image Generation

import { TextToImage } from "deepinfra";
import { createWriteStream } from "fs";
import { Readable } from "stream";

const model = new TextToImage("stabilityai/sdxl-turbo", "$DEEPINFRA_TOKEN");
const response = await model.generate({
  prompt: "a burger with a funny hat on the beach",
});

const result = await fetch(response.images[0]);
if (result.ok && result.body) {
  Readable.fromWeb(result.body).pipe(createWriteStream("image.jpg"));
}

curl "https://api.deepinfra.com/v1/inference/stabilityai/sdxl-turbo" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
  -d '{"prompt": "a burger with a funny hat on the beach"}'

Speech Recognition

curl -X POST \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -F audio=@audio.mp3 \
    'https://api.deepinfra.com/v1/inference/openai/whisper-large-v3'

Zero-Shot Image Classification

curl -X POST \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -F image=@image.jpg \
    -F 'candidate_labels=["dog", "cat", "car", "horse", "person"]' \
    'https://api.deepinfra.com/v1/inference/openai/clip-vit-base-patch32'

HTTP / other languages

The native API is plain HTTP — you can use it from any language (Go, C#, Java, PHP, Ruby, C++, etc.) without any SDK dependency.

Getting Started

Chat Completions

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DeepInfra Native API

JavaScript client

Text Generation (LLMs)

Embeddings

Image Generation

Speech Recognition

Zero-Shot Image Classification

HTTP / other languages

​JavaScript client

​Text Generation (LLMs)

​Embeddings

​Image Generation

​Speech Recognition

​Zero-Shot Image Classification

​HTTP / other languages

JavaScript client

Text Generation (LLMs)

Embeddings

Image Generation

Speech Recognition

Zero-Shot Image Classification

HTTP / other languages