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Qwen · Open weights

Qwen3.5 9B

Added Mar 10, 2026Open weights

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Use in the app

Qwen3.5 9B is a multimodal foundation model from the Qwen 3.5 family, built for efficient reasoning, coding, and visual understanding in a compact 9B architecture. Requests containing video cost $0.17 per million input tokens and $0.25 per million output tokens.

  • Reasoning
  • Tools
  • Vision
  • Video input
Input
Text, Images, Video
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.15

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
1.4K tokens
Longer than 84% of 465 models

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

13.3

Better than 33% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    23.5

    Composite of the coding evaluations

    Better than 17% of 168 scored models

Document reasoning

  • AA-LCRv1.1

    46.0%

    Reasoning across long documents

    Better than 25% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    9.4%

    Expert-level questions across academic fields

    Better than 30% of 323 scored models

  • GPQA Diamond

    78.6%

    Graduate-level science questions

    Better than 45% of 291 scored models

  • IFBench

    37.8%

    Following precise output instructions

    Better than 20% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    18.2%

    Earlier terminal task suite

    Better than 36% of 212 scored models

  • τ²-Bench Telecom

    85.1%

    Tool use in a customer-support simulation

    Better than 67% of 214 scored models

  • AA-LCR (unversioned)

    46.0%

    Long-context reasoning, earlier grading

    Better than 25% of 309 scored models

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.

Prompt cache hits
19.9%
Request success (24h)
99.8%
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 96.3%
  • 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/qwen3.5-9b",
    "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/qwen3.5-9b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.