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Qwen-Omni Turbo

qwen-omni-turbo

阿里云audio2025-01-19

Qwen-Omni Turbo is a audio model from 阿里云. The snapshot records a release date of 2025-01-19. Context window: 32.768K tokens. Maximum output: 2.048K tokens. Input: text, images, audio, video. Output: text, audio. Capabilities recorded: tool calls.

Directory snapshot 2026-10-26 · Chinese dossier: 完整中文页

Context32.768K
Max output2.048K
Inputtext, images, audio, video
Outputtext, audio
Official input¥0.47 / 1M
Official output¥1.8 / 1M
Capabilitiestool calls
Release2025-01-19

Official list price

CNY / 1M TOKENS

Official list price in the directory snapshot: ¥0.47 input and ¥1.8 output per 1M tokens, in CNY. Relay prices below are what individual sites listed; they can be lower or higher, and they are not official prices.

Relay coverage

2 SITES

2 sites in our public directory listed this model ID in the 2026-10-26 snapshot. Listed relay price range: ¥75–¥87 per 1M input tokens. A listing means the model appeared on the site's public model list; it is not proof that the site serves the genuine model.

SiteDomainRelay price / 1MVerification
AIGC Tokenaigc-token.com¥75enterprise
OmniaKeyomniakey.com¥87enterprise

How to verify this model on a relay

THREE STEPS
  1. Send a short request to the relay and read the model field in the response. It must match the ID you sent; a different ID is a mapping, not necessarily a substitution.
  2. Run the same prompt against a known-good endpoint and compare prompt-token counts. A large, repeatable gap points at a different tokenizer or a different backend.
  3. Run the seven checks. Billing, context retention, error shape, parameter compliance, tools, and streaming each produce evidence you can quote.

Same publisher

阿里云

Questions

FAQ

What is the context window of Qwen-Omni Turbo?

The snapshot records 32,768 tokens.

How much does Qwen-Omni Turbo cost?

Official list price: ¥0.47 input / ¥1.8 output per 1M tokens in CNY, per the directory snapshot. 2 relay sites listed it at ¥75–¥87 per 1M input tokens.

Is a relay really serving Qwen-Omni Turbo?

A model ID in a response is not proof. The seven-check detection compares tokenizer ratios, billing, error shape, parameter compliance, tools, and streaming against the advertised family. Run it on a key you can afford to spend, and treat one run as a spot check, not 24/7 monitoring.

Specifications and prices come from the 2026-10-26 public directory snapshot. We do not publish IQ scores or structured-output claims for models where we have no reliable data.