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Qwen · Balanced

Qwen3 VL 235B A22B Instruct Original

Added Sep 25, 2025

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Use in the app

Routed across multiple providers, which may include Alibaba, a Chinese entity; provider-specific privacy and logging guarantees may vary. Qwen3 Vision‑Language model (235B MoE, ≈22B active) tuned for instruction following and grounded visual QA. Excels at image understanding, dense OCR, charts and diagrams, and multi‑image context. Use this variant when you want concise, direct answers grounded in the visuals.

  • Vision
Input
Text, Images
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.30
Output
$1.90

Reference prices as published by the model provider. API example

Specifications

Context window
—
Max output
32.8K
Average output (7 days)
288 tokens
Longer than 29% of 465 models

Side by side

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TryGemini 2.5 FlashMiniMax M1DeepSeek Chat 0324All 3

Public evaluations

Benchmarks

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

Intelligence Index

9.9

Better than 20% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    70.7

    Composite of the math evaluations

    Better than 66% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    32.7%

    Reasoning across long documents

    Better than 15% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    6.6%

    Expert-level questions across academic fields

    Better than 23% of 323 scored models

  • GPQA Diamond

    71.2%

    Graduate-level science questions

    Better than 29% of 291 scored models

  • MMLU-Pro

    82.3%

    Multi-subject knowledge and reasoning

    Better than 65% of 132 scored models

  • IFBench

    42.7%

    Following precise output instructions

    Better than 34% of 215 scored models

Coding

  • LiveCodeBench

    59.4%

    Recent competitive programming problems

    Better than 58% of 129 scored models

Math

  • AIME 2025

    70.7%

    Competition mathematics, 2025 problems

    Better than 66% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    6.8%

    Earlier terminal task suite

    Better than 15% of 212 scored models

  • τ²-Bench Telecom

    35.1%

    Tool use in a customer-support simulation

    Better than 29% of 214 scored models

  • AA-LCR (unversioned)

    32.7%

    Long-context reasoning, earlier grading

    Better than 15% 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.

Request success (24h)
100.0%
Reliable
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": "qwen3-vl-235b-a22b-instruct-original",
    "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="qwen3-vl-235b-a22b-instruct-original",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.