Qwen · Balanced

Qwen3.5 Plus

Added Feb 16, 2026

Qwen 3.5 Plus is a commercial model with hybrid linear attention and sparse MoE architecture. Supports text, image, and video input with a 1M context window.

Vision
Video input

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

Pricing

USD per 1M tokens

Input: $0.40
Output: $2.40
Cache read: $0.04

Reference prices as published by the model provider. API example

Specifications

Context window: 983.6K
Max output: 65.5K
Average output (7 days): 141 tokens; Longer than 14% of 468 models

Side by side

Qwen3.5 Plus compared

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

Limits
	Qwen3.5 PlusQwenThis model	Qwen 3.6 PlusQwenRemove
Provider	Qwen	Qwen
Discovery tier	Balanced	Balanced
Added	Feb 16, 2026	Apr 2, 2026
Context window	983.62K	991.81KBest
Max output	65.54K	65.54K
Average output	141 tokens	—
Pricing, USD per 1M tokens
Input	$0.40	$0.33Best
Output	$2.40	$1.95Best
Cache read	$0.04	$0.0325Best
Cache write	—	$0.41
Capabilities
Tools	No	Yes
Vision	Yes	Yes
Video input	Yes	Yes
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

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

Qwen

Other Qwen models, starting with the same family.