ASSEMBLYAI ALTERNATIVE
Like AssemblyAI, but multi-modal.
AssemblyAI ships excellent speech AI with built-in features like sentiment, summarization, topic detection. Runcrate is the Whisper-and-more alternative: drop-in OpenAI audio endpoints plus 200+ models for chat, image, video — useful if your speech-AI app also needs LLM, vision, or generation.
COMPARISON
Runcrate vs AssemblyAI.
| Feature | Runcrate | AssemblyAI |
|---|---|---|
| ASR models | Whisper Large V3, Voxtral | Universal-2 |
| Speaker diarization | Via pyannote / supported models | Built-in |
| Sentiment / topics / summarization | Via LLM call (chat.completions) | Built-in audio intelligence |
| API format | OpenAI-compatible | Custom AssemblyAI API |
| Pricing | $0.02/min (Whisper) | Per-minute, premium tiers |
GPU PRICING
GPU pricing comparison.
| Model | Provider | Price | Detail |
|---|---|---|---|
| deepseek-ai/DeepSeek-V3.2 | DeepSeek | $0.27 / 1M | Reasoning, code, 128K ctx |
| anthropic/claude-4-sonnet | Anthropic | $3 / 1M in, $15 / 1M out | Top-tier reasoning |
| meta-llama/Llama-4-Scout | Meta | $0.20 / 1M | Open weights, multilingual |
| Qwen/Qwen3-Max | Alibaba | $0.30 / 1M | 30+ languages, 128K ctx |
| openai/whisper-large-v3 | OpenAI | $0.02 / min | Speech-to-text, 100+ langs |
| black-forest-labs/FLUX.1-pro | Black Forest Labs | $0.04 / image | Photorealistic |
WHY SWITCH
Why teams switch to Runcrate.
200+ models, one API key
Chat, code, image, video, audio, embeddings, vision — all under a single OpenAI-compatible endpoint with per-token / per-image / per-second billing.
OpenAI-compatible drop-in
Swap the base URL and your existing OpenAI SDK code keeps working. No custom client library, no rewrite, no lock-in.
Inference + GPU rentals
When the API isn't enough, rent a dedicated H100, H200, or B200 from the same account — same billing, same dashboard, no separate vendor.
Per-second billing, no minimums
Pay only for what you use. No hourly bucketing, no commitment, no idle charges. Prepaid credits never expire.
GET STARTED
Try it now.
import Runcrate from "@runcrate/sdk";
import { readFile } from "node:fs/promises";
const rc = new Runcrate({ apiKey: "rc_live_YOUR_API_KEY" });
const audio = await readFile("./meeting.mp3");
const transcript = await rc.audio.transcriptions.create({
model: "openai/whisper-large-v3",
file: audio,
filename: "meeting.mp3",
});
console.log(transcript.text);FAQ