Tencent: Hy-MT2 30B-A3B
tencent/hy-mt2-30b-a3b
Try Hy-MT2 30B-A3B for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "tencent/hy-mt2-30b-a3b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "tencent/hy-mt2-30b-a3b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Hy-MT2 30B-A3B is a multilingual translation model from Tencent's Hunyuan team, built as a Mixture-of-Experts network with 30B total parameters and roughly 3B active per token. It's part of the Hy-MT2 family, released alongside 1.8B and 7B variants, and is designed for fast, instruction-following translation across 33 languages, including style guides, terminology lists, and structured data formats.
Tencent reports it outperforming open-source models including DeepSeek-V4-Pro and Kimi K2.6 on translation quality evaluations, and approaching closed-source Gemini 3.1 Pro. It ships under the Apache 2.0 license.
It's a fit for developers building translation features who need multilingual quality without the cost of a general-purpose flagship model, particularly when terminology, tone, or output format need to be controlled via instructions.
Context Window 8K
tokens
Max Output 4K
tokens
Input Cost $0.07
per million tokens
Output Cost $0.3
per million tokens
Release Date Aug 20, 2026
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This playground uses the Puter.js AI API — no API keys or setup required.
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Tencent Hy4 Preview is an open-weight Mixture-of-Experts model from Tencent's Hunyuan team, the successor to Hy3. It has 770B total parameters with 49B active per token, and supports a context window over 1M tokens. It's released under the Apache 2.0 license and supports tool calling. In Tencent's internal blind evaluation across 203 engineering tasks judged by 163 experts, Hy4 Preview scored 2.99 out of 4.00, ahead of GLM-5.3 (2.92) and Kimi K3 (2.94). It scores 85.4 on Terminal-Bench 2.1, surpassing DeepSeek V4 Pro, and 82.9 on SWE-bench Multilingual, up from Hy3's 75.8. On DeepSWE, its score rose from Hy3's 28.0 to 64.3. It's aimed at coding agents, software engineering, office and document generation, and scientific research workflows via API.
ChatHy-MT2 1.8B
Hy-MT2 1.8B is a lightweight multilingual translation model from Tencent Hunyuan, part of the Hy-MT2 family that also includes 7B and 30B-A3B (MoE) variants for heavier workloads. It translates across 33 languages, including Chinese, Cantonese, English, French, Japanese, Korean, Arabic, Russian, Tibetan, and Uyghur, and is trained to follow translation-specific instructions such as terminology guidance, style adaptation, and structured data translation. Tencent reports that the 1.8B model outperforms mainstream commercial translation APIs from providers like Microsoft and Doubao overall, though it hasn't published specific BLEU or COMET scores to back up the comparison. The larger 7B and 30B-A3B models are reported to outperform DeepSeek-V4-Pro and Kimi K2.6 on translation tasks in fast-thinking mode. With an 8,192-token context window, it's a fit for developers who need fast, low-cost, dedicated translation via API rather than a general-purpose chat model.
ChatHy-MT2 7B
Hy-MT2 7B is a multilingual translation model from Tencent's Hunyuan team, part of the Hy-MT2 family that also includes the 1.8B and 30B-A3B (MoE) variants. Tencent positions it as the balanced-performance size, between the lightweight 1.8B model and the professional-grade 30B-A3B model. It translates across 33 languages and follows translation-specific instructions for terminology, style, and output format. On the FLORES-200 XX↔XX benchmark, Hy-MT2 7B scores 86.89, reaching 97.9% of Gemini 3.1 Pro's performance. That compares to 87.47 (98.6%) for the 30B-A3B model and 79.77 (89.9%) for the 1.8B model in the same family. Tencent also reports it outperforming DeepSeek-V4-Pro and Kimi K2.6 on translation tasks in fast-thinking mode. With an 8,192-token context window, it's a fit for developers who need higher translation quality than the 1.8B model without the cost of the 30B-A3B variant, particularly for terminology- or format-sensitive translation via API.
Frequently Asked Questions
You can access Hy-MT2 30B-A3B by Tencent through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Hy-MT2 30B-A3B is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Hy-MT2 30B-A3B is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.07 |
| Output | $0.3 |
Hy-MT2 30B-A3B was created by Tencent and released on Aug 20, 2026.
Hy-MT2 30B-A3B supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.
Hy-MT2 30B-A3B can generate up to 4K tokens in a single response.
Yes — the Hy-MT2 30B-A3B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Hy-MT2 30B-A3B to your app for free
Developers can integrate Hy-MT2 30B-A3B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.