Qwen · Efficient

Qwen3.8 Omni Flash

Added Sep 17, 2026

Qwen3.8 Omni Flash is a fast omni-modal reasoning model for understanding text, images, audio, and video. It is especially suited to meeting summaries, transcripts and subtitles, speaker-aware audiovisual analysis, and long-form content review. It returns text and supports a nearly one-million-token context window, tool calling, and structured output.

Reasoning
Tools
Vision
Structured output
Audio input
Video input

Input: Text, Images, Video, Audio
Output: Text
Reasoning effort: none · high
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.15
Output: $0.47
Cache read: $0.016

Reference prices as published by the model provider. API example

Specifications

Context window: 991.8K
Max output: 131.1K

Side by side

Qwen3.8 Omni Flash compared

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

Limits
	Qwen3.8 Omni FlashQwenThis model	Qwen 3.8 27B DarkIdolQwenRemove
Provider	Qwen	Qwen
Discovery tier	Efficient	Open weights
Added	Sep 17, 2026	Oct 5, 2026
Context window	991.81KBest	262.14K
Max output	131.07KBest	32.77K
Average output	—	554 tokens
Pricing, USD per 1M tokens
Input	$0.15	$0.10Best
Output	$0.47Best	$0.60
Cache read	$0.016Best	$0.05
Performance
Throughput	—	40.9 tok/s
Time to first token	—	2.2 s
Request success (24h)	100.0%Best	90.3%
Capabilities
Reasoning	Yes	Yes
Tools	Yes	Yes
Vision	Yes	Yes
Structured output	Yes	No
Audio input	Yes	No
Video input	Yes	No
Reasoning effort	none, high	—

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.

Prompt cache hits: 0.0%; About $0.15 per 1M input tokens with caching
Request success (24h): 100.0%; Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%

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/qwen3.8-omni-flash",
    "reasoning_effort": "none",
    "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/qwen3.8-omni-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

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