Qwen3.8 Omni Flash Realtime

Qwen·Any-to-any·active

SyncDev model directory · Profile updated Oct 7, 2026

Compare with another model

Qwen3.8 Omni Flash Realtime handles live text, audio and video-frame inputs with streamed text and speech responses.

Key specifications

Specification score
25.0
License
Publisher API terms

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Audio input
  • Video input
  • Image input

Produces

  • Text output
  • Audio output

Capabilities

Function callingVisionAudioStreaming

What is Qwen3.8 Omni Flash Realtime?

Qwen3.8 Omni Flash Realtime handles live text, audio and video-frame inputs with streamed text and speech responses.

A live conversation route

The realtime service is intended for a continuing session rather than a single uploaded-file response. The documented interface supports streamed audio, video frames, interruptions and tool use. Audio input and output use different sample rates, so configure the recorder and player separately. Use the WebSocket domain for the workspace’s region and the supported SDK version.

Session design

A useful assistant needs to handle turn boundaries, interruptions and tool results without losing the user’s intent. Test a user who starts speaking over an answer, changes a request midway and asks a question about a newly supplied frame. Verify that cancelled audio stops playing and that a late tool result does not answer an obsolete request. Compare the delay to the first meaningful response, not just the model’s total generation time.

Tools and limits

The publisher documents function tools and remote MCP connections. Tool use and the built-in web-search option have compatibility restrictions and should not be combined without following the session documentation. The offline Omni model’s context allowance should not be copied into this profile as an established realtime limit. Similarly, the documented output-truncation setting is not a promise that the model will generate exactly that many tokens. Keep session identifiers, audio format and connection errors in your application logs so a failed interaction can be reproduced.

Sources

Publisher documentation · Publisher documentation

How to evaluate Qwen3.8 Omni Flash Realtime

Compare the model on the work you need to complete.

Tasks and inputs

Qwen3.8 Omni Flash Realtime is listed for Any-to-any, Text-to-speech. It accepts text, audio, video, image and produces text, audio. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Compare pronunciation, voice consistency and time to the first playable audio. Check the service’s billing unit for the actual script.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

google

google/gemma-4-E2B-it

google/gemma-4-E2B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

131.07K context

google

google/gemma-4-E4B-it

google/gemma-4-E4B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

131.07K context

lmstudio-community

lmstudio-community/gemma-4-E4B-it-MLX-4bit

lmstudio-community/gemma-4-E4B-it-MLX-4bit is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

32.77K context

Qwen

Qwen/Qwen2.5-Omni-7B

Qwen/Qwen2.5-Omni-7B is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

32.77K context

Anthropic

Claude Sonnet 3.5 v2

Balanced Claude model for coding, analysis, agent workflows, and cost control

200K context

OpenAI

GPT-4o

Omni-era GPT for multimodal chat, practical coding, and general assistants

128K context