Qwen · Balanced
Qwen3 VL 235B A22B Instruct Original
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 468 models
Side by side
Qwen3 VL 235B A22B Instruct Original compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen3 VL 235B A22B Instruct OriginalQwenThis model | Qwen 3.8 27B DarkIdolQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Balanced | Open weights |
| Added | Sep 25, 2025 | Oct 5, 2026 |
| Limits | ||
| Context window | — | 262.14K |
| Max output | 32.77K | 32.77K |
| Average output | 288 tokens | 554 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.30 | $0.10Best |
| Output | $1.90 | $0.60Best |
| Cache read | — | $0.05 |
| Performance | ||
| Throughput | — | 40.9 tok/s |
| Time to first token | — | 2.2 s |
| Request success (24h) | 100.0%Best | 90.3% |
| Benchmark indexes | ||
| Intelligence Index | 9.9 | — |
| Math Index | 70.7 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Qwen3 VL 235B A22B Instruct Original
- Qwen 3.8 27B DarkIdol
Intelligence Index
- Qwen3 VL 235B A22B Instruct Original9.9
- Qwen 3.8 27B DarkIdol—
Qwen3 VL 235B A22B Instruct Original: Better than 20% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Qwen3 VL 235B A22B Instruct Original: 70.7
- Qwen 3.8 27B DarkIdol: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Qwen3 VL 235B A22B Instruct Original: 32.7%
- Qwen 3.8 27B DarkIdol: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Qwen3 VL 235B A22B Instruct Original: 6.6%
- Qwen 3.8 27B DarkIdol: —
GPQA Diamond
Graduate-level science questions
- Qwen3 VL 235B A22B Instruct Original: 71.2%
- Qwen 3.8 27B DarkIdol: —
MMLU-Pro
Multi-subject knowledge and reasoning
- Qwen3 VL 235B A22B Instruct Original: 82.3%
- Qwen 3.8 27B DarkIdol: —
IFBench
Following precise output instructions
- Qwen3 VL 235B A22B Instruct Original: 42.7%
- Qwen 3.8 27B DarkIdol: —
Coding
LiveCodeBench
Recent competitive programming problems
- Qwen3 VL 235B A22B Instruct Original: 59.4%
- Qwen 3.8 27B DarkIdol: —
Math
AIME 2025
Competition mathematics, 2025 problems
- Qwen3 VL 235B A22B Instruct Original: 70.7%
- Qwen 3.8 27B DarkIdol: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Qwen3 VL 235B A22B Instruct Original: 6.8%
- Qwen 3.8 27B DarkIdol: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Qwen3 VL 235B A22B Instruct Original: 35.1%
- Qwen 3.8 27B DarkIdol: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Qwen3 VL 235B A22B Instruct Original: 32.7%
- Qwen 3.8 27B DarkIdol: —
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
- 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.
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
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