Qwen3.5-Omni-Plus

Name: Qwen3.5-Omni-Plus
Author: Alibaba

AlibabaProprietaryPending Human Review

Qwen3.5-Omni-Plus is a proprietary native omnimodal model for text, image, audio, and video understanding with text and speech output. The Thinker–Talker architecture combines hybrid reasoning, audio-visual comprehension, and streaming speech synthesis, targeting multimodal assistants and real-time interaction. This separately named hosted tier is available through Qwen APIs, including a Realtime interface. The family was publicly released in March 2026; the dated March 15 serving snapshot is not used as an unverified launch date. No public downloadable weights are established for this tier.

2026-03

Thinker–Talker multimodal architecture

Proprietary

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Specifications

Architecture: Thinker–Talker multimodal architecture
License: Proprietary
Context Window: 262,144 tokens
Max Output: 65,536 tokens
Type: multimodal
Modalities: textimageaudiovideo

Benchmark Scores

Advanced Specifications

Model Family: Qwen
API Access: Available
Chat Interface: Not Available
Variants: Qwen3.5-Omni-Plus-Realtimeqwen3.5-omni-plus-2026-03-15

Capabilities & Limitations

Capabilities: multimodal reasoningaudio-visual understandingspeech generationfunction calling
Known Limitations: Hosted access requires the corresponding service API.Realtime and standard endpoints have different streaming and input conventions.Speech and vision quality depend on source clarity and language.
Notable Use Cases: multimodal assistantsaudio-video question answeringreal-time conversations
Function Calling Support: Yes

Resources

Related Models

IndustryLLM

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IndustryLLM is Alibaba’s open-weight language model for industrial procurement and engineering-standard reasoning. It adapts Qwen3.5-35B-A3B-Base through continued pre-training on industrial documents and transactions followed by task-focused supervised fine-tuning. The 35.95B-parameter hybrid mixture-of-experts network activates approximately 3B per token. Training targets informal buyer language, ambiguous product codes, contradictory specifications, and evidence-based constraint evaluation. Apache-licensed BF16 weights are published. Its 262K architectural context is distinct from 12,288-token packed fine-tuning sequences; this record uses the supported training length conservatively. The September 25 paper predates later discovery-index coverage.

Typetext

Parameters35.95B total, approximately 3B active

2026-09-25

Open Weights

Details Compare

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Qwen-Audio-3.1-Realtime is a proprietary language-capable speech conversation model for fluid real-time dialogue. It combines speech reasoning with duplex interaction, allowing conversational responses rather than only transcription or speech synthesis. The 3.1 Plus update supports a 262,144-token context, function calling, web search, voice cloning, and additional system voices, while retaining the 3.0 Plus integration protocol. Hosted streaming APIs provide access; no downloadable weights or checkpoint parameter count is verified.

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