Qwen: Qwen-MT Lite
qwen/qwen-mt-lite
Try Qwen-MT Lite 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: "qwen/qwen-mt-lite"
}).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: "qwen/qwen-mt-lite"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen-MT Lite is the lowest-cost tier of Alibaba's Qwen-MT machine translation family, built for simple, latency-sensitive translation such as real-time chat and live comment translation.
It supports 31 languages, fewer than the 92 covered by Qwen-MT Plus and Qwen-MT Turbo, and Alibaba's model comparison rates it as basic quality at the fastest speed and lowest cost of the tiers. Unlike the higher tiers, it does not support domain prompting. It does support incremental streaming output, where each response contains only newly generated content.
Best suited for developers translating short, high-volume text (chat messages, comments, UI strings) where response speed and price matter more than translation fidelity. For terminology control or higher output quality, Qwen-MT Plus or Turbo are the better fit.
Context Window 16K
tokens
Max Output 8K
tokens
Input Cost $0.12
per million tokens
Output Cost $0.36
per million tokens
Input text
modalities
Tool Use No
Release Date Nov 19, 2025
Try Qwen-MT Lite for free
Try Qwen-MT Lite instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Qwen
Qwen3.6 27B
Qwen3.6 27B is a dense 27-billion-parameter multimodal model from Alibaba's Qwen team, purpose-built for agentic coding and repository-level reasoning. It scores 77.2% on SWE-bench Verified and 59.3% on Terminal-Bench 2.0, outperforming the previous-generation Qwen3.5-397B-A17B across all major coding benchmarks despite being far smaller. It natively supports text, image, and video inputs with a 262K-token context window, extendable to 1M tokens. A standout feature is Thinking Preservation, which retains reasoning traces across conversation turns — reducing redundant computation in multi-step agent loops. The model uses a hybrid attention architecture combining Gated DeltaNet with traditional self-attention. Ideal for developers building coding agents, multi-turn tool-use workflows, or frontend generation pipelines.
ChatQwen3.6 Max Preview
Qwen3.6 Max Preview is Alibaba's most capable language model to date — a proprietary flagship that claimed the top score on six major coding benchmarks at its April 20, 2026 release. It leads on SWE-bench Pro, Terminal-Bench 2.0, SkillsBench, QwenClawBench, QwenWebBench, and SciCode. The Artificial Analysis Intelligence Index rates it at 52, well above the median for reasoning models in its price tier. It supports a 256K-token context window and is text-only at launch. As a preview release, Alibaba is still actively iterating on the model. Best suited for teams building coding agents, scientific computing tools, or frontend generation systems that need peak benchmark performance.
ChatQwen3.6 35B A3B
Qwen3.6 35B A3B is a sparse Mixture-of-Experts model with 35 billion total parameters but only 3 billion active per token, making it highly efficient for inference. Developed by Alibaba's Qwen team, it scores 73.4% on SWE-bench Verified and 51.5% on Terminal-Bench 2.0 — significantly outperforming dense models like Gemma 4-31B (52.0% on SWE-bench Verified). It natively handles text, image, and video with a 262K-token context window, extendable to 1M tokens. The model supports Thinking Preservation for stable multi-turn reasoning and includes native tool-calling capabilities. Released under Apache 2.0, it was the first open-weight model in the Qwen3.6 family. A strong choice for developers who want frontier-adjacent coding performance at a fraction of the compute cost of larger models.
Frequently Asked Questions
You can access Qwen-MT Lite by Qwen 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.
Qwen-MT Lite 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.
Qwen-MT Lite 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 | $0.12 |
| Output | $0.36 |
Qwen-MT Lite was created by Qwen and released on Nov 19, 2025.
Qwen-MT Lite supports a context window of 16K tokens. For reference, that is roughly equivalent to 33 pages of text.
Qwen-MT Lite can generate up to 8K tokens in a single response.
Qwen-MT Lite accepts the following input types: text. It produces: text.
No, Qwen-MT Lite does not currently support tool use (function calling).
Yes — the Qwen-MT Lite 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 Qwen-MT Lite to your app for free
Developers can integrate Qwen-MT Lite for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.