The PolyglotsStrict ZDR Verified

Alibaba

Multilingual mastery and agentic coding.

Laboratory Overview

Alibaba's Qwen lab produces the premier multilingual and open-weight models in the world. With models like Qwen 3.8 and Qwen 3.6 Max, Alibaba leads across polyglot reasoning, coding, and mathematical benchmarks.

Core Research Focus:Multilingual masteryagentic codingopen-innovationmulti-modal reasoningcross-language code generation.

Privacy & Zero Data Retention

Strict Zero Data Retention (ZDR): Requests are processed ephemerally in RAM. No user data, prompts, or completions are stored, indexed, or used for model training.

No user telemetry sent to Alibaba

Alibaba Foundation Models (2)

Available under ARMES unified subscription without separate API keys or billing agreements.

Tier:

Sparse Mixture-of-Experts (MoE) autoregressive transformer, hybrid attention (Gated DeltaNet + Gated Attention), with test-time reasoning tokens

MoEPro

Qwen 3.8-2.4t-a95b

Qwen3.8-2.4T-A95B is Alibaba's open-weight, sparse Mixture-of-Experts frontier model (2.4T total / ~95B active parameters) that serves as the downloadable backbone of the hosted Qwen3.8-Max flagship. It pairs a 1,048,576-token context window with hybrid (Gated DeltaNet + Gated Attention) attention, always-on test-time reasoning, and a strong agentic/coding profile — making it the first open-weight Max-class Qwen, positioned against GPT-6 Astra, Claude Opus 5, and Gemini 3.8 Pro.

AA Intelligence Index:39.9

1.05M ctx

$2.00 / $6.00 /MTok

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Dense Autoregressive Transformer (Vision-Language)

Pro

Qwen-3.8-27b

Qwen3.8-27B is Alibaba Qwen's open-weight, densely-parameterized vision-language model (≈27.8B params, Apache 2.0, released August 14, 2026). It pairs a 262,144-token native context (YaRN-extensible to 1M) with user-switchable 'flexible thinking' and multimodal image input, delivering frontier-adjacent agentic coding and long-horizon tool-use at single-GPU-friendly scale.

SWE-bench Pro:61.7%

1M ctx

$0.42 / $3.00 /MTok

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