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Qwen · Efficient

Qwen3.5 Omni Flash

Added Mar 30, 2026

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Use in the app

Qwen3.5 Omni Flash is Qwen's fast multimodal model. We verified live support for text prompts, images, audio files, and direct video URLs on Alibaba's chat-completions-compatible API. Alibaba describes Flash as a fully evolved version of Qwen3 Omni with audio input support across 60+ languages.

  • Vision
  • Audio input
  • Video input
Input
Text, Images, Video, Audio
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
—
Output
—

Reference prices as published by the model provider. API example

Specifications

Context window
49.2K
Max output
16.4K

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Qwen3.5 Omni Flash compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Qwen3.5 Omni FlashQwenThis modelSchematron V2 Turboinference-netRemove
ProviderQweninference-net
Discovery tierEfficientEfficient
AddedMar 30, 2026Sep 12, 2026
Limits
Context window49.15K128KBest
Max output16.38KBest8.19K
Pricing, USD per 1M tokens
Input—$0.03
Output—$0.15
Performance
Request success (24h)100.0%—
Capabilities
VisionYesNo
Structured outputNoYes
Audio inputYesNo
Video inputYesNo
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 22.2%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.5-omni-flash",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen3.5-omni-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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