Qwen3.6-27B is an open-weight 27 billion parameter dense multimodal model focused on agentic coding and reasoning. It uses 64 layers with a hybrid attention structure that mixes Gated DeltaNet linear attention with standard gated attention, and supports a 262,144 token native context window, extensible toward roughly one million tokens with YaRN scaling. Reported scores include SWE-bench Verified 77.2, AIME 2026 94.1, and VideoMME 87.7, reflecting strength in coding, math reasoning, and video understanding. It handles text, image, and video inputs and offers both thinking and non-thinking modes in one checkpoint. The model excels at frontend workflows and repository-level code reasoning, supporting tool calling and complex multimodal problem solving for agentic applications.
Qwen 3.6 27B runs on 3 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance β full data-handling detail per route below.
Qwen 3.6 27B runs on 2 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 1 further route for this model is not on the board yet and is not counted above. See uptime for every provider Opper monitors.
Each route hosting Qwen 3.6 27B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Qwen 3.6 27B through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/Qwen/Qwen3.6-27B",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
