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Qwen · Balanced

Qwen3.5 Omni Plus

Added Mar 30, 2026

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Use in the app

Qwen3.5 Omni Plus is Qwen's stronger general 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 Plus as a comprehensive evolution of Qwen3 Omni with support for over 10 hours of audio input.

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

Pricing

USD per 1M tokens
Input
—
Output
—

Reference prices as published by the model provider. API example

Specifications

Context window
983.6K
Max output
65.5K

Side by side

Qwen3.5 Omni Plus 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 PlusQwenThis modelMercury 2InceptionRemove
ProviderQwenInception
Discovery tierBalancedBalanced
AddedMar 30, 2026Jan 1, 2024
Limits
Context window983.62KBest128K
Max output65.54KBest50K
Pricing, USD per 1M tokens
Input—$0.25
Output—$0.75
Cache read—$0.025
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index—10.8
Coding Index—31.1
Capabilities
ReasoningNoYes
ToolsNoYes
VisionYesNo
Structured outputNoYes
Audio inputYesNo
Video inputYesNo
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Qwen3.5 Omni Plus
  • Mercury 2

Intelligence Index

  • Qwen3.5 Omni Plus—
  • Mercury 210.8
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 31.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 1.7%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 0.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 265 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 494 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 3.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 43.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 17.1%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 77.0%

  • IFBench

    Following precise output instructions

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 69.8%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 0.0%

  • SciCode

    Scientific computing in Python

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 37.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 26.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 70.8%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.5 Omni Plus: —
    • Mercury 2: 43.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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 57.1%
  • 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-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-omni-plus",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

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