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고급 다중 모달 처리 256K 긴 컨텍스트 고속 응답 성능

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클로즈드 라이선스 시스템 상세한 평가 메트릭 부재 새 모델로서의 제한된 실적

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Qwen3.5-Omni-Flash

Name: Qwen3.5-Omni-Flash
Author: アリババ

Qwen3.5-Omni-Flash는 Alibaba가 개발한 다중 모달 대형 언어 모델입니다. 256K의 광범위한 컨텍스트 윈도우를 지원하여 효율적인 처리를 가능하게 합니다.

파라미터

Undisclosed

컨텍스트

256K

라이선스

https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE

출시일

2026-03-30

API 가격

이 모델의 API 가격 정보는 현재 공개되지 않았습니다

강점

・고급 다중 모달 처리
・256K 긴 컨텍스트
・고속 응답 성능

약점

・클로즈드 라이선스 시스템
・상세한 평가 메트릭 부재
・새 모델로서의 제한된 실적

활용 사례

・대규모 문서 분석
・다중 모달 정보 처리
・실시간 응용 프로그램

심층 분석

Release Date

March 30, 2026

Architecture

Thinker-Talker, Hybrid-Attention MoE

Context Window

262,144 tokens

Max Audio Input

10+ hours continuous

Max Video Input

400+ seconds at 720p/1FPS

Speech Recognition

113 languages

Speech Generation

36 languages

Input Modalities

Text, Image, Audio, Video

Output Modalities

Text, Streaming Speech

API Price

~$0.065/1M text input, $0.260/1M output

Budget tier of Omni family

강점

・Budget-friendly omnimodal model: text, image, audio, and video input with speech output
・Natively end-to-end multimodal — no adapter or separate TTS pipeline needed
・113 languages for speech recognition, 36 for speech generation
・Low latency for real-time voice chat applications
・Apache 2.0 licensed, available for self-hosting via HuggingFace

약점

・Lower quality than the Plus variant on audio and vision benchmarks
・Benchmark scores trail Gemini 3.1 Pro on several audio understanding tasks
・Limited documentation on specific parameter count and architecture details
・Voice cloning quality may not match dedicated TTS solutions
・Real-world performance in noisy environments not extensively tested

경쟁사 비교

Model	Arena	SWE	GPQA	Price
Qwen3.5-Omni-Plus	N/A	N/A	~94.2 (MMLU)	TBD
Gemini 3.1 Pro	~1480	N/A	~91	Proprietary
GPT-Audio	~1460	N/A	~89	Proprietary
Qwen3.5-Omni-Flash	N/A	N/A	~92 (MMLU)	$0.065/$0.260
ElevenLabs	N/A	N/A	N/A	Proprietary TTS

개요

Qwen3.5-Omni-Flash is the budget tier of the Qwen3.5-Omni family, released March 30, 2026. It is a natively omnimodal model that accepts text, images, audio, and video as input and produces both text and streaming speech output in a single forward pass. The Flash variant trades some benchmark quality for lower latency and cost, making it suitable for real-time voice chat and high-volume applications.

벤치마크 및 성능

The Flash variant scores below the Plus on most benchmarks but remains competitive. On text tasks, it delivers roughly 90-95% of the Plus quality. Audio understanding and speech recognition performance are strong for its price tier. The key advantage is latency — optimized for first-token response time in voice applications. Specific benchmark numbers for Flash vs Plus are not extensively published; the Plus variant shows MMAU 82.2, VoiceBench 93.1, LibriSpeech clean WER 1.11.

상세 비교

Positioned as the budget alternative to Qwen3.5-Omni-Plus. Compared to Gemini 3.1 Pro and GPT-Audio, the Flash variant offers significantly lower pricing with competitive multimodal capabilities. The 113-language speech recognition is a major differentiator for non-English use cases. Compared to dedicated TTS solutions like ElevenLabs, it offers the advantage of integrated reasoning — the model understands context at the thinking level, not just the text level.

커뮤니티 평가

The Qwen3.5-Omni family generated significant excitement for its native multimodal approach. The Flash variant is noted as the practical choice for developers building voice-enabled applications on a budget. Community interest in the Audio-Visual Vibe Coding use case (point camera, describe what you want, get code). Some skepticism about the 215 SOTA claims, noting benchmark scope varies widely.

활용 사례

Best for real-time voice chat applications, multilingual voice assistants, accessibility tools, and high-volume audio/video processing where cost matters more than maximum quality. The streaming speech output enables low-latency conversational AI. Suitable for developers building voice-enabled apps, audio transcription services, and multimodal search systems. For maximum quality on benchmark tasks, upgrade to the Plus variant.