Alibaba Cloud: Qwen3.5-Omni-Flash

Qwen3.5 Omni Flash brings multimodal understanding to everyday assistant tasks. It is a candidate for interpreting an image alongside spoken or written context, such as describing an event from its accompanying media.

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qwen3.5-omni-flash

AvailableAlibaba CloudChat

Input / Output: $0.40 / $2.20
Context: 197K
Max output: 64K
Modalities: VisionChat

About Qwen3.5-Omni-Flash

Qwen3.5-Omni-Flash is the speed-oriented tier of Alibaba's Qwen3.5-Omni family, a native multimodal model that reads text, images, audio, and video and can answer in text or speech. It is the faster, cheaper-to-run sibling of Qwen3.5-Omni-Plus and a step up from Qwen3-Omni-Flash, with longer media limits, 55 voices, and spoken output in 74 languages and 39 dialects.

Where it works well

Reads text, images, audio, and video in one request and can reply in text or speech.
Handles up to about 3 hours of audio or 1 hour of video per request in the non-realtime API.
Speaks in 74 languages and 39 dialects, with 55 built-in voices and support for custom voices.
Speech input recognition spans 113 languages, which suits mixed-language audio.

When to choose another model

Live, interruptible voice conversation belongs to the separate Qwen3.5-Omni-Flash-Realtime model.
Replies come back as text or speech, so image or video creation needs another model.
Flash trades some depth for speed relative to Qwen3.5-Omni-Plus on hard multimodal questions.

Getting started

Create API key
Create a key in Console, then use it with every model on the platform.

Send your first request

Copy the example for your language and run it against the endpoint.

Text to textMessages API

POST/v1/messages

API format:

curl https://api.tokenlab.sh/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: sk-xxx" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "qwen3.5-omni-flash",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Pricing

The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.

Text Output

per 1M tokens

Official price: Input $0.40 / Output $2.20 / Text Input $0.40 / Audio Input $3.00 / Image Input $0.40 / Text Output $2.20 / Audio Output $11.90
Verified price: —
Discount: —

Audio on

per 1M tokens

Official price: Input $0.40 / Output $11.90 / Text Input $0.40 / Audio Input $3.00 / Image Input $0.40 / Text Output $0.00 / Audio Output $11.90
Verified price: —
Discount: —

	Official priceper 1M tokens	Verified priceper 1M tokens	Discount
Text Output	Input $0.40 / Output $2.20 / Text Input $0.40 / Audio Input $3.00 / Image Input $0.40 / Text Output $2.20 / Audio Output $11.90	—	—
Audio on	Input $0.40 / Output $11.90 / Text Input $0.40 / Audio Input $3.00 / Image Input $0.40 / Text Output $0.00 / Audio Output $11.90	—	—

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

Requests
Success rate
P95 latency
Total tokens

Model performance

Last updated Nov 1, 2026, 6:36 AM UTC

Metrics appear once privacy and data volume thresholds are met.

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open Qwen3.5-Omni-Flash in Console with a prompt ready to edit or send.

Help me try qwen3.5-omni-flash with a short message at /v1/messages. Show the reply, latency, and cost.

Use cases

Best for

Vision

Meeting and call summaries
Send a long recording and ask for decisions, owners, and open questions, with the answer as text or a spoken briefing.
Spoken product help
Take a customer's photo and spoken question and respond aloud in the customer's language and dialect.
Video content tagging
Process uploaded videos for what is shown and said, then output descriptions and topics for a media library.

Prompt examples

Summarize this one-hour training video and note the timestamps of each topic change.

The speaker switches between Cantonese and English. Transcribe it and translate the Cantonese parts.

Describe what is happening in this photo and read the answer back in a calm female voice.

This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.

FAQ

What is the difference between Flash and Plus?

Both are Qwen3.5-Omni models with the same input types and voices. Flash is the high-speed version, Plus the higher-quality one. Start with Flash for volume or latency-sensitive work and move to Plus if answers on complex media fall short.

Can it output audio?

Yes. It can return text and spoken audio, with 55 built-in voices and custom voice support, across 74 languages and 39 dialects. You choose whether you need speech or text in the request.

How long a recording can it take?

Up to about 3 hours of audio or 1 hour of video per request, according to Alibaba's Qwen3.5-Omni documentation. Split longer material into parts and run them one by one.

Which languages can it understand?

Speech input recognition spans 113 languages, and spoken replies cover 74 languages and 39 dialects, so mixed-language audio is handled in a single request without choosing a language first.

Is this the model for live voice conversation?

No. Qwen3.5-Omni-Flash takes finished input. For a streaming, interruptible voice session, use Qwen3.5-Omni-Flash-Realtime, which keeps a connection open and accepts live audio and video frames.

How much does Qwen3.5-Omni-Flash cost?

On TokenLab, Qwen3.5-Omni-Flash costs Input $0.40 / Output $2.20 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What are the context window and output limit of Qwen3.5-Omni-Flash?

Qwen3.5-Omni-Flash accepts up to 196,608 tokens of context and returns up to 65,536 tokens in one response.

Which endpoint should Qwen3.5-Omni-Flash use?

Use https://api.tokenlab.sh/v1/messages for Qwen3.5-Omni-Flash. The request example below shows the matching code shape.

Which operations does Qwen3.5-Omni-Flash support?

Qwen3.5-Omni-Flash supports Text to text. Select an operation above to see its endpoint and request example.