Qwen · Efficient

Qwen3.5 Flash

Added Feb 24, 2026

Use in the app

Qwen3.5 Flash is the fastest and cheapest native Qwen 3.5 vision-language model with a 1M-token context window.

Vision
Video input

Input: Text, Images, Video
Output: Text
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.10
Output: $0.40

Reference prices as published by the model provider. API example

Specifications

Context window: 991.8K
Max output: 65.5K

Side by side

Qwen3.5 Flash compared

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

Limits
	Qwen3.5 FlashQwenThis model	Qwen 3.8 27B AntislopQwenRemove
Provider	Qwen	Qwen
Discovery tier	Efficient	Open weights
Added	Feb 24, 2026	Oct 5, 2026
Context window	991.81KBest	262.14K
Max output	65.54KBest	32.77K
Average output	—	299 tokens
Pricing, USD per 1M tokens
Input	$0.10	$0.10
Output	$0.40Best	$0.60
Cache read	—	$0.05
Performance
Throughput	—	34.6 tok/s
Time to first token	—	1.9 s
Request success (24h)	100.0%Best	99.1%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	Yes	Yes
Video input	Yes	No
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.

Prompt cache hits: 0.0%
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 99.3%

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-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-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.