Tencent: Hy 3 Preview
tencent/hy3-preview
Try Hy 3 Preview 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/hy3-preview"
}).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/hy3-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Tencent Hy3 is a 295B-parameter Mixture-of-Experts reasoning model developed by Tencent's Hunyuan team, with only 21B parameters active per query. It supports a 256K-token context window and configurable reasoning levels (disabled, low, high), letting you trade off latency and depth per request.
Hy3 is particularly strong on coding and agentic tasks. It scores 74.4% on SWE-bench Verified for real-world bug fixing and 67.1% on BrowseComp for complex web research. Its MoE architecture delivers competitive performance against much larger models — matching Kimi-K2.5 (1T+ parameters) on agent benchmarks at a fraction of the compute cost.
Best suited for developers building agentic workflows, code generation pipelines, and multi-step reasoning applications where cost-efficiency matters.
Context Window 262K
tokens
Max Output 236K
tokens
Input Cost $0.18
per million tokens
Output Cost $0.6
per million tokens
Input text
modalities
Tool Use Yes
Release Date Apr 22, 2026
Try Hy 3 Preview for free
Try Hy 3 Preview instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Hy 3 Preview performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 86.7% |
| Humanity's Last Exam Cross-domain reasoning | 27.8% |
| IFBench Instruction following | 63.1% |
| LCR Long-context reasoning | 64.7% |
| Terminal-Bench Hard Agentic terminal tasks | 34.1% |
| τ²-Bench Tool use / agents | 92.7% |
Scores sourced from Artificial Analysis.
Find other Tencent models →
Hy4 Preview
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 30B-A3B
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.
Frequently Asked Questions
You can access Hy 3 Preview 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 3 Preview 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 3 Preview 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 | $0.18 |
| Output | $0.6 |
Hy 3 Preview was created by Tencent and released on Apr 22, 2026.
Hy 3 Preview supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Hy 3 Preview can generate up to 236K tokens in a single response.
Hy 3 Preview accepts the following input types: text. It produces: text.
Yes, Hy 3 Preview supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Hy 3 Preview scores 22.7 on the Artificial Analysis Intelligence Index, outperforming 70% of tracked models.
Yes — the Hy 3 Preview 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 3 Preview to your app for free
Developers can integrate Hy 3 Preview for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.