Run popular AI models with one simple API.
Chat, text-to-speech and transcription on one OpenAI-compatible endpoint — GPT-OSS 120B, DeepSeek V4 Flash, Kokoro, Whisper and more. Pay per request, no tiers, no daily caps.
Fast to integrate
Familiar chat completions format. Send a request with cURL, Python or JavaScript in minutes.
Pay as you go
Prepaid credits with no subscription or minimums. Every new account starts with free credit.
No infrastructure
We handle hosting, scaling and model updates so you can focus on your product.
Models
View allOpenAI's open-weight 120B reasoning model. Strong at coding, tool use and agentic tasks; the drop-in replacement Groq recommends for Llama 3.3 70B.
DeepSeek's fast, inexpensive V4 model with a 1M-token context. Strong general assistant and coding model at the lowest price per token here.
The newest DeepSeek Flash model: better reasoning and tool use than V4 Flash, still with a 1M-token context.
Z.ai's fast GLM 5.3 model with tool calling, JSON mode and a 1M-token context, at a low per-token price.
Meta's instruction-tuned 70B model. Still served here after its retirement on Groq — the same <code>llama-3.3-70b-versatile</code> id works unchanged.
The small GPT-OSS model: fast and inexpensive for lightweight assistants and classification.
Compact vision-language model for image understanding, OCR and screenshot reasoning.
Fast, natural open-weight text-to-speech with 54 voices across 8 languages, on the OpenAI <code>/v1/audio/speech</code> endpoint.
Expressive Llama-based text-to-speech with emotive tags and eight English voices.
OpenAI's multilingual speech recognition model on the standard <code>/v1/audio/transcriptions</code> endpoint — same request shape as OpenAI and Groq.
NVIDIA's very fast English-first transcription model with accurate timestamps; ideal for long recordings and batch jobs.
Parse screenshots into structured, labeled UI elements for computer-use agents.
Quickstart
Sign up for free. Your key is ready immediately on the API Keys page.
curl https://api.inferenceapis.com/v1/chat/completions \
-H "Authorization: Bearer $INFERENCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello! What can you do?"}
]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.inferenceapis.com/v1",
api_key=os.environ["INFERENCE_API_KEY"],
)
response = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello! What can you do?"},
],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.inferenceapis.com/v1",
apiKey: process.env.INFERENCE_API_KEY,
});
const response = await client.chat.completions.create({
model: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Hello! What can you do?" },
],
});
console.log(response.choices[0].message.content);Tune prompts in the playground, browse the model catalog, or read the API reference.