Qwen: Qwen3.5 27B Anko
qwen/qwen3.5-27b-anko
Access Qwen3.5 27B Anko from Qwen using the Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "qwen/qwen3.5-27b-anko"
}).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/qwen3.5-27b-anko"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen3.5 27B Anko is a community fine-tune of Qwen3.5 27B, built by Allura (allura-org) on top of ArliAI's derestricted version of the base model, which removes built-in refusal behavior via a weight-abliteration technique. Anko adds a LoRA trained on reasoning traces and responses, using data generated by Doubao Seed 2.0 Pro and Mini, aimed at improving coherence and cutting down on repetitive output.
It's distributed through the Infron aggregator and positioned for creative writing, roleplay, and general chat. The model card recommends a Claude-style system prompt and non-default sampling (temperature around 1.25 with min_p) rather than Qwen's stock settings.
Context is 262K tokens. No independent benchmark scores have been published for this variant.
Context Window 262K
tokens
Max Output 262K
tokens
Input Cost $0.31
per million tokens
Output Cost $0.31
per million tokens
Release Date N/A
Model Playground
Try Qwen3.5 27B Anko instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Qwen
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ChatQwen3.5 Plus 2026-04-20
Qwen3.5 Plus is a proprietary hosted model from Alibaba, built on the Qwen3.5-397B-A17B Mixture-of-Experts architecture with 397 billion total parameters and 17 billion active per token. Its headline feature is a 1-million-token native context window — among the largest available via API — making it well suited for processing entire codebases, long documents, or extended multi-turn conversations in a single request. It supports both a deep-thinking mode and an "Auto" mode that adaptively invokes tools like web search and code interpreters. This April 20, 2026 snapshot reflects ongoing improvements to the model since its original February 2026 launch. The Qwen3.5 series demonstrated strong multimodal performance across reasoning, coding, and vision tasks. A solid general-purpose option for developers needing large-context capabilities without migrating to the newer Qwen3.6 line.
ChatQwen3.6 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.
Frequently Asked Questions
You can access Qwen3.5 27B Anko 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.
Qwen3.5 27B Anko 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 | $0.31 |
| Output | $0.31 |
Qwen3.5 27B Anko supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Qwen3.5 27B Anko can generate up to 262K tokens in a single response.
Yes — the Qwen3.5 27B Anko 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 Qwen3.5 27B Anko to your app for free
Developers can integrate Qwen3.5 27B Anko for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.