HeyGen: HeyGen Voice vs Qwen: Qwen-Audio-3.0-TTS Plus
A side-by-side comparison of HeyGen: HeyGen Voice ($52.50 / 1M characters) and Qwen: Qwen-Audio-3.0-TTS Plus ($70.00 / 1M characters) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| HeyGen: HeyGen Voice | Qwen: Qwen-Audio-3.0-TTS Plus | |
|---|---|---|
| Provider | HeyGen | Qwen |
| Characters | $52.50 / 1M characters | $70.00 / 1M characters |
| Context window | - | - |
| Max output | - | - |
| Input | text | text |
| Output | speech | speech |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 13, 2026 | Jul 23, 2026 |
Key differences
- HeyGen: HeyGen Voice is 25% cheaper on input tokens.
In depth
HeyGen Voice is a speech model from HeyGen, listed on api14 under the model id heygen/heygen-voice-1. Qwen-Audio-3.0-TTS Plus is a speech model from Qwen, listed under qwen/qwen-audio-3.0-tts-plus. Both sit in the speech category, both take text as input, and both return speech as output, so at the surface level they are doing the same job: turning written text into audio. The provider release dates differ, with the Qwen model listed as 2026-07-23 and the HeyGen model as 2026-10-13, but that is a listing detail rather than a guide to which one suits your application.
The capability profiles are close. Neither model exposes a published context length, so there is no token window figure to compare, and neither lists any supported parameters, which means you should not plan on passing sampling controls, style knobs or similar options through the request body. Input modalities are identical (text only) and output modalities are identical (speech only), so neither model accepts audio or images on the way in, and neither returns text alongside the audio. There is no tool calling, no structured output mode and no reasoning mode listed for either one. The one qualitative difference given is on input cost: HeyGen Voice is the cheaper of the two on input pricing. Output pricing is not differentiated in the data, so treat the two as comparable there and check the live price table for the current numbers.
For most text to speech work, the choice comes down to cost and to which voice character you prefer, since the technical surface is the same. If your workload is input heavy, for example long scripts, batch narration or large volumes of short prompts, HeyGen Voice is the cheaper option on the input side and is the reasonable default. If your workload is dominated by output audio length rather than input text, the input price advantage matters less, and you should compare the two on voice quality and latency for your own content before committing. Because neither model supports parameters, you cannot tune either one at request time, so any variation in delivery has to come from the text you send or from the model itself.
Calling either model through api14 works the same way, because the gateway exposes an OpenAI-compatible API. You point your client at the api14 base URL, send a request to the chat completions endpoint with your api14 key, and set the model field to the id you want. Switching between the two is a one line change: use heygen/heygen-voice-1 for HeyGen Voice, or qwen/qwen-audio-3.0-tts-plus for Qwen-Audio-3.0-TTS Plus. Your request shape, authentication and response handling stay identical, so you can keep both ids in configuration and route between them without touching the rest of your code.
There is no strong case in the data for picking the Qwen model over the HeyGen one on capability grounds, since the modalities, context situation and parameter support are the same and HeyGen is cheaper on input. The honest position is that Qwen-Audio-3.0-TTS Plus is worth testing when you prefer its voice output for your specific content, or when you are already standardized on Qwen models elsewhere in your stack and want consistency. Otherwise, start with HeyGen Voice on cost, and A/B the two on a sample of your real scripts before you decide.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "heygen/heygen-voice-1" to "qwen/qwen-audio-3.0-tts-plus" and prompts, streaming and tools keep working.
import { writeFile } from "node:fs/promises";
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const audio = await client.audio.speech.create({
"model": "qwen/qwen-audio-3.0-tts-plus",
"input": "Hello from api14! One API for every model.",
"voice": "alloy",
"response_format": "mp3"
});
await writeFile("speech.mp3", Buffer.from(await audio.arrayBuffer()));
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