
GPT-Live-1 vs Qwen-Audio-3.1: 진짜 벌일 가치가 있는 싸움은 풀 듀플렉스다
- OrcaNEWOrca: OrcaCyber Ultra 1.02026-10-17$5.00 / $10.00 100만 토큰당 · 61 tok/s
- OrcaNEWOrca: OrcaCyber Zero 1.52026-10-10$3.00 / $7.50 100만 토큰당 · 75 tok/s
- openaiOpenAI: GPT-6.1 Sol2026-09-2952지능
- anthropicAnthropic: Claude Sonnet 5.52026-09-2856지능
- typesafeTypeSafe: Jev 1.132026-09-24$0.04 / $0.00 100만 토큰당 · 722 tok/s
- OpenAIOpenAI: GPT-6 Luna2026-09-2238지능
- OpenAIOpenAI: GPT-6 Sol2026-09-2248지능
- AnthropicAnthropic: Claude Opus 5.52026-09-2258지능
- xAIGrok 4.72026-09-2146지능
- OrcaOrca: OrcaCyber Zero 1.02026-09-17$3.00 / $7.50 100만 토큰당 · 36 tok/s
- OrcaOrca: OrcaVerify Text 1.02026-09-16$2.00 / $0.00 100만 토큰당 · 821 tok/s
- DeepSeekDeepSeek: DeepSeek V4.1 Flash2026-09-1040지능
- OpenAIOpenAI: GPT-6 Astra2026-09-0453지능77코딩
- GoogleGoogle: Gemini 3.8 Flash2026-09-0241지능76코딩
- AlibabaQwen: Qwen3.8 Max (0902)2026-09-0245지능76코딩
- AnthropicAnthropic: Claude Fable 5.12026-09-0153지능82코딩
- TencentTencent: Hy4 preview2026-08-28$0.83 / $2.50 100만 토큰당 · 52 tok/s
- AlibabaQwen: Qwen3.8 Flash2026-08-26$0.15 / $0.47 100만 토큰당 · 109 tok/s
- z-aiZ.ai: GLM 5.3 Flash2026-08-2642지능72코딩
- DeepSeekDeepSeek: DeepSeek V4 Flash Vision (Exp)2026-08-21$0.22 / $0.66 100만 토큰당 · 185 tok/s
The obvious way to write this comparison is price per hour of audio, and it is the wrong way. Qwen-Audio-3.1-TTS renders speech at $19.30 per million characters on Artificial Analysis's conversion — roughly a fifth of what an hour of GPT-Live-1 voice time costs at $0.05 a minute — and that number will end up in a procurement deck this month. It should not, because Qwen-Audio-3.1 is not one model. It is a five-model refresh Alibaba announced on 23 September 2026 at the Apsara Conference in Hangzhou, and one of those five, Qwen-Audio-3.1-Realtime, does the same job GPT-Live-1 does. That is the matchup with an actual decision inside it, and Alibaba cut its price by about 85%.
두 가족, 나란히
Alibaba's refresh covered synthesis, recognition, realtime conversation and audio understanding, with cuts running across the whole line: synthesis down about 70%, realtime down about 85%, recognition as much as 95%. The tiers are not interchangeable and each has its own price and job.
• Qwen-Audio-3.1-TTS — the synthesis successor, 16 languages including seven added in this release, 20 Chinese dialect regions retained, instruction-based control of emotion, pace and delivery, and natural cross-language timbre transfer that carries one voice across Mandarin, Cantonese, English and Japanese.
• Qwen-Audio-3.1-TTS-Next — a different product wearing a familiar name. Alibaba calls it an audiogen model: voice, sound effects and background ambience generated in a single pass from text, timestamps and reference audio, with multi-speaker dialogue and 48 kHz output. Per Alibaba Cloud's Model Studio documentation it takes up to 3,000 characters of input, caps generated audio at 240 seconds for podcasts and 120 otherwise, runs at 3 requests per second, and returns WAV, MP3 or PCM.
• Qwen-Audio-3.1-Realtime — full-duplex conversational, and the one Alibaba is pushing into hardware: Qwen Office, Qoder, QwenNote A2, the QwenNote Eva desktop robot, and the Qwen AI glasses.
• Qwen-Audio-3.1-ASR and ASR-Next — recognition, and audio understanding covering emotion, music, environmental sound and event localisation.
GPT-Live-1 is one thing, not a family. Full-duplex voice sessions, audio and text in, audio and text out, images and video unsupported, knowledge cut-off 31 July 2025, served only through v1/live/sessions with Chat Completions, Responses, Realtime and Batch all out of scope. It streams and supports function calling; structured outputs and fine-tuning are not supported. Its architecture is a split: GPT-Live handles the conversation while a delegated backend model or agent handles reasoning and tools, either through Responses delegation with an OpenAI model or client delegation to your own service.
그래서 정직한 비교는 TTS 대 TTS, Realtime 대 Live입니다. 이 두 부분은 가격이 완전히 다르게 책정됩니다.
The rendering half: where Qwen is genuinely hard to argue with

If your workload is narration, documentation audio, IVR prompts or video voice-over, Qwen-Audio-3.1-TTS is a strong default and the price cut made it stronger.
• Independent standing — Elo 1,296 on Artificial Analysis's Provider Voice Arena, third of the field behind Eleven's two entries at 1,330 and 1,329, and ahead of Cartesia Sonic 3.6 at 1,285, Gemini 3.8 Flash TTS at 1,275, Qwen's own previous generation at 1,265 and Realtime TTS-2 at 1,262.
• Controlled Voice 순위 — Elo 1,186, 클론 음성 보드에서 1,202의 HeyGen Voice에 이어 2위, 샘플 수는 HeyGen의 1,482개에 비해 1,856개.
• 아레나 환산 기준 가격 — 백만 문자당 $19.30으로, Eleven v4 Turbo의 $40.00, Gemini 3.8 Flash TTS의 $16.5, Cartesia Sonic 3.6의 $49.0과 대비됩니다.
• 지원 범위 — 16개 언어, 20개 중국 방언 지역, 언어 간 음색 변환, 그리고 명령 기반 감정 및 발화 스타일 제어.
• 음성 라이브러리 — TTS-Flash의 음성 68개로, 4개의 다국어 및 방언 음성, 22개의 프리미엄 중국어(보통화) 음성, 15개의 프리미엄 영어 음성, 27개의 추가 시스템 음성으로 나뉩니다. 음성 ID는 대소문자를 구분하며, 가용성은 일률적이지 않습니다. 다국어 세트와 프리미엄 영어 세트만 싱가포르 리전에서 제공되고, 나머지는 베이징 전용입니다.
One numbering caution worth carrying into a budget: Alibaba publishes token rates while Artificial Analysis publishes a per-character conversion, and the two do not reconcile. Alibaba's own documentation lists TTS-Flash at roughly $0.23 per million tokens in and $1.87 out in Singapore, which is a different unit again from both the arena's $19.30 per million characters and the older $27.6 figure that still circulates for the previous generation. Check the rate at account level in the region you actually deploy to, not the one in a screenshot.
Against GPT-Live-1, the rendering comparison resolves the same way it does against every TTS model: OpenAI's engine bills by open minute, whether or not anything is generated, and cannot be batched. For a scripted workload that is roughly twenty-seven times the per-audio-minute cost of the cheapest cartel-tier renderers and structurally the wrong tool.

실제 결정인 대화의 절반

두 공급업체는 이제 전이중 대화형 모델을 판매하며, 각각을 뒷받침하는 증거는 서로 다른 종류의 증거다. 그 비대칭성은 어떤 단일 수치보다 더 중요하다.
GPT-Live-1 has an independent placement. Artificial Analysis's speech-to-speech index — a weighted average of speech reasoning, agentic performance, arena preference and task success — lists it under named backend configurations rather than as one row, with GPT-Live-1 (Astra, medium) and GPT-Live-1 (Sol, low) among the top entries, below Grok Voice 3.0 and alongside Gemini 3.8 Live Extended Thinking. The cost panel on the same board prices GPT-Live-1 configurations between roughly $4.42 and $10.75 per hour of input audio. That is a genuine third-party evaluation, and it is also a reminder that in this architecture the backend moves the score: the same voice model appears twice with different results.
Qwen-Audio-3.1-Realtime does not appear on that index. Its standing rests on Alibaba's own benchmark claims for the family, its deployment into Alibaba's consumer hardware, and the price cut. Absence from a leaderboard is not a quality verdict — the board requires a specific set of component results before it publishes an index score — but it does mean that on the conversational side, one of these two has an independent number and the other has a vendor's.
The commercial difference is starker than the technical one. Alibaba cut realtime pricing by roughly 85% in the same announcement, which is the kind of move that changes what a product can afford to be. A Chinese-market consumer device shipping a full-duplex model at that rate is a different business than one shipping it at $0.05 a minute.
어떤 벤더도 대신 해결해 주지 않는 것: 추론이 일어나는 곳
Both systems delegate. GPT-Live-1 does it explicitly and by design: it listens and speaks while a backend model or agent reasons, uses tools and returns results for it to communicate, and the backend is a separate bill at normal model rates on top of the $0.05 a minute. Alibaba's stack does the analogous thing across a five-model family, which is why the ASR, audiogen and realtime tiers exist as separate line items.
The consequence is the same in both cases and it is where most conversational projects overspend. Full session time is billable on GPT-Live-1 including while the backend works. OpenAI's own cost guidance makes the arithmetic explicit — running a faster backend with parallel tool calls so the user finishes a minute earlier saves $0.05 in voice charges — and the lever is session length, not the voice rate. A conversation whose backend stalls for four seconds is a conversation that costs more and feels worse at the same time.
This is the part of the stack a routing layer actually changes. Client delegation means the delegated backend can be your own harness, so the reasoning model becomes a variable you can tune per route instead of a fixed dependency. OrcaRouter fronts 200-plus models at provider list price with no markup, which matters most exactly when a vendor cuts a price — the cut is live here the same day rather than at your next contract renewal. Automatic failover keeps a provider outage out of a live conversation, and the routing DSL lets you compose the reasoning step from several models rather than betting the session on one. To state the boundary plainly: OrcaRouter hosts neither GPT-Live-1 nor any Qwen-Audio-3.1 tier. What it routes is the delegated reasoning behind a Live session.
어떤 작업에 어느 것
Scripted audio at volume: Qwen-Audio-3.1-TTS, and check the current tier pricing at account level rather than trusting the arena's conversion. It is third on the independent provider board, second on the controlled-voice board, and priced in the middle of the field after a 70% cut. If you need sound effects and ambience in the same pass, TTS-Next is a genuinely different capability rather than a tier of the same one.
Chinese-language and dialect coverage: Qwen, without much argument. Twenty dialect regions and cross-language timbre transfer are not features GPT-Live-1 has an answer to, and the preset asymmetry on OpenAI's side — Hindi and Korean get one voice each, both feminine — shows how differently the two vendors have prioritised language breadth.
English-first conversational product with an independent scoreboard behind it: GPT-Live-1, with the caveat that you are buying a two-model system and the backend half is where the cost and the quality both live.
And if you are building on Alibaba's realtime tier specifically, the question to answer before you commit is the one no leaderboard will answer for you: what your backend costs per session. At an 85% cut the conversation itself became cheap. Whether the thing doing the thinking did is a separate invoice.
그중 어느 것도 가정이 아닙니다: 이번과 같은 릴리스의 배경이 된 문서화된 AI 실패와 에이전트 사고는 OrcaRouter AI Incident Archive에 수집되어 있으며, 각 항목에는 자체 출처, 심각도, 신뢰도 등급, 분쟁 플래그가 함께 제공됩니다.
