HeyGen: HeyGen Voice vs Microsoft AI: MAI-Voice-2.1
A side-by-side comparison of HeyGen: HeyGen Voice ($52.50 / 1M characters) and Microsoft AI: MAI-Voice-2.1 ($77.00 / 1M characters) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| HeyGen: HeyGen Voice | Microsoft AI: MAI-Voice-2.1 | |
|---|---|---|
| Provider | HeyGen | Microsoft |
| Characters | $52.50 / 1M characters | $77.00 / 1M characters |
| Context window | - | - |
| Max output | - | - |
| Input | text | text |
| Output | speech | speech |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 13, 2026 | Oct 1, 2026 |
Key differences
- HeyGen: HeyGen Voice is 32% cheaper on input tokens.
In depth
HeyGen Voice is a speech model from HeyGen, listed on api14 as heygen/heygen-voice-1. Microsoft AI's MAI-Voice-2.1 is a speech model from Microsoft, listed as microsoft/mai-voice-2.1. Both sit in the speech category, and both were released in October 2026, with MAI-Voice-2.1 arriving on the first of the month and HeyGen Voice on the thirteenth. Neither is a general text model; each one takes text in and gives speech back.
On the dimensions that usually decide a model choice, the two are close. Both accept text as input and produce speech as output, so the modality story is identical. Neither listing reports a context length, so there is no documented difference in how much text either can handle in one call. Neither exposes any supported parameters, and the comparison data marks tool use, structured output and reasoning as not meaningfully different or unknown, so there is no capability gap to exploit there. The one clear difference is price on the input side: HeyGen Voice is the cheaper of the two for input. Output pricing is not differentiated in the data, so treat the two as comparable there.
For a developer, that shapes the decision simply. If your workload is dominated by input volume, for example long scripts, documents or transcripts that get converted to speech, HeyGen Voice is the more economical call and is the natural default. If your workload is mostly short prompts with a lot of generated audio, the input price advantage matters less, and either model is a reasonable pick. Because no context length, parameter or capability differences are documented, there is no technical reason recorded here to prefer one over the other for a given text-to-speech task; the choice comes down to cost profile and any preference you already have between the two providers.
Calling either model through api14 works the same way, because the gateway exposes an OpenAI-compatible API. You send a request to the chat completions endpoint with your text as the input, and you select the model by its id. To use HeyGen Voice, set the model field to heygen/heygen-voice-1. To use MAI-Voice-2.1, set the same field to microsoft/mai-voice-2.1. Nothing else in the request shape needs to change; the model id is the only switch between them. That makes it cheap to test both against your own text and compare the audio before committing.
There is no documented case in this data where MAI-Voice-2.1 is the better pick on capability grounds, since the two are tied or unknown on every capability axis and differ only in input price. The honest guidance is to start with HeyGen Voice for input-heavy work and switch the model id to microsoft/mai-voice-2.1 if you prefer Microsoft's output or want to evaluate it alongside.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "heygen/heygen-voice-1" to "microsoft/mai-voice-2.1" 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": "microsoft/mai-voice-2.1",
"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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