Alibaba Cloud: Qwen3.8-Omni-Flash
qwen3.8-omni-flash- Input / Output
- $0.15 / $0.47
- Context
- 1M
- Modalities
- VisionChat
- Capabilities
- Tool usePrompt CacheReasoning
About Qwen3.8-Omni-Flash
Qwen3.8-Omni-Flash is Alibaba's newest Omni chat model. It reads text, images, audio, and video and answers in text, with a million-token context for lengthy media and documents together. Unlike Qwen3.5-Omni it has adjustable reasoning effort, tool calling, and prompt caching. It has no speech output, so spoken replies need a separate text-to-speech model.
Where it works well
- Reasoning is on by default and adjustable through a reasoning-effort setting, from none up to very high.
- Supports tool calling, so an agent can act on what it sees and hears.
- Prompt caching helps when many requests share a long document or recording prefix.
- Takes up to roughly 3 hours of audio or 2 hours of video, the longest limits among these Omni models.
- Reads text, images, audio, and video in one message, so a single request can combine a recording with its slides.
When to choose another model
- It answers in text only; use Qwen3.5-Omni when the model itself must speak.
- Schema-constrained JSON output is not available, so JSON structure must be enforced in the prompt and validated.
- Reasoning adds delay and output tokens, so lower the effort for simple lookups.
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 textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "qwen3.8-omni-flash", "input": "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.
Default spec
per 1M tokens- Official price
- Input $0.15 / Output $0.47 / Cache read $0.016
- Verified price
- —
- Discount
- —
Cache read
- Official price
- $0.016
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Default spec | Input $0.15 / Output $0.47 / Cache read $0.016 | — | — |
| Prompt cache pricing | |||
| Cache read | $0.016 | — | — |
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
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open Qwen3.8-Omni-Flash in Console with a prompt ready to edit or send.
Help me try qwen3.8-omni-flash with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Vision
- Reasoning
Long recording review
Load a multi-hour meeting or lecture and ask for decisions, disputes, and follow-ups, with reasoning turned up for contradictions.
Multimodal agents
Combine screenshots, audio notes, and tool calls so an agent can inspect a case and update a ticket.
Cached document and media Q&A
Keep one large source in the cached prefix and ask many questions against it at lower repeat cost.
Prompt examples
The recording and the slide deck are attached. List every claim the speaker made that the slides do not support.
Use the search_tickets tool to find duplicates of the issue in this screenshot, then summarize what you found.
Reason carefully: do the two audio clips contain the same speaker's commitments?
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 new in Qwen3.8-Omni-Flash?
It adds adjustable reasoning, tool calling, prompt caching, and a far larger context than the 3.5 Omni models, and takes longer video. In exchange it outputs text only, while Qwen3.5-Omni can speak.
How do I control its reasoning?
Thinking is enabled by default and set through a reasoning-effort parameter with levels from none to extra-high. Use none or low for quick extraction and higher settings for contradictions and multi-step analysis.
Can it generate speech?
No. Alibaba lists text output for Qwen3.8-Omni-Flash. For spoken answers, pass its text to a text-to-speech model or use a Qwen3.5-Omni model, which returns audio directly.
How do I send audio or video to it?
Media goes in as content parts of the message, alongside text, as with other multimodal chat models. Long recordings and documents can share one request thanks to the large context.
Does it understand audio in many languages?
Alibaba documents audio input in 113 languages for Qwen3.8 and 3.5 Omni models. Written answers can be requested in any language the text model supports.
How much does Qwen3.8-Omni-Flash cost?
On TokenLab, Qwen3.8-Omni-Flash costs Input $0.15 / Output $0.47 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 Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash accepts up to 1,000,000 tokens of context.
Which endpoint should Qwen3.8-Omni-Flash use?
Use https://api.tokenlab.sh/v1/responses for Qwen3.8-Omni-Flash. The request example below shows the matching code shape.
Which operations does Qwen3.8-Omni-Flash support?
Qwen3.8-Omni-Flash supports Text to text. Select an operation above to see its endpoint and request example.
Compare Qwen3.8-Omni-Flash
Sources
Reviewed Oct 2, 2026
