ELEVENLABS ALTERNATIVE
ElevenLabs is the gold standard for ultra-realistic voice synthesis. Runcrate offers competitive open TTS models (Qwen3-TTS, Kokoro, Orpheus) at a fraction of the price — plus full multi-modal coverage: chat, image, video, transcription, all under one OpenAI-compatible API.
COMPARISON
| Feature | Runcrate | ElevenLabs |
|---|---|---|
| TTS quality | Qwen3-TTS, Kokoro, Orpheus | Industry-leading voice realism |
| TTS pricing | $0.02/1k chars (Kokoro) | Tiered character credits |
| Voice cloning | Available on supported models | Yes, instant + professional |
| Speech-to-text | Whisper, Voxtral | Limited STT (Scribe) |
| Other modalities | Chat, image, video, embeddings | Voice / audio only |
| OpenAI-compatible | Yes | Custom ElevenLabs API |
GPU PRICING
| 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
Chat, code, image, video, audio, embeddings, vision — all under a single OpenAI-compatible endpoint with per-token / per-image / per-second billing.
Swap the base URL and your existing OpenAI SDK code keeps working. No custom client library, no rewrite, no lock-in.
When the API isn't enough, rent a dedicated H100, H200, or B200 from the same account — same billing, same dashboard, no separate vendor.
Pay only for what you use. No hourly bucketing, no commitment, no idle charges. Prepaid credits never expire.
GET STARTED
import Runcrate from "@runcrate/sdk";
import { writeFile } from "node:fs/promises";
const rc = new Runcrate({ apiKey: "rc_live_YOUR_API_KEY" });
const audio = await rc.audio.speech.create({
model: "qwen/qwen3-tts",
input: "Hello, welcome to Runcrate.",
voice: "alloy",
});
await writeFile("./speech.mp3", audio);FAQ