Qwen · Open weights
Qwen 3 235b A22B
Qwen 3 235b is a 235b model with 22B active parameters. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.
- Tools
- Structured output
- PDF input
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.0875
- Output
- $0.35
- Cache read
- $0.0175
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 16.4K
- Average output (7 days)
- 616 tokens
- Longer than 57% of 468 models
Side by side
Qwen 3 235b A22B compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen 3 235b A22BQwenThis model | GLM 4.6VZ.aiRemove | |
|---|---|---|
| Provider | Qwen | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Apr 29, 2025 | Dec 11, 2025 |
| Limits | ||
| Context window | 262.14KBest | 128K |
| Max output | 16.38K | 24KBest |
| Average output | 616 tokens | 139 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.0875Best | $0.30 |
| Output | $0.35Best | $0.90 |
| Cache read | $0.0175 | — |
| Performance | ||
| Request success (24h) | 91.4% | 99.7%Best |
| Benchmark indexes | ||
| Intelligence Index | 8.3 | 8.4Best |
| Math Index | 23.7 | 26.3Best |
| Capabilities | ||
| Tools | Yes | No |
| Vision | No | Yes |
| Structured output | Yes | No |
| PDF input | Yes | No |
| Video input | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Qwen 3 235b A22B
- GLM 4.6V
Intelligence Index
- Qwen 3 235b A22B8.3
- GLM 4.6V8.4
Qwen 3 235b A22B: Better than 13% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Qwen 3 235b A22B: 23.7
- GLM 4.6V: 26.3Top
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Qwen 3 235b A22B: 0.0%
- GLM 4.6V: 17.0%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Qwen 3 235b A22B: 4.2%Top
- GLM 4.6V: 3.7%
GPQA Diamond
Graduate-level science questions
- Qwen 3 235b A22B: 61.3%Top
- GLM 4.6V: 56.6%
MMLU-Pro
Multi-subject knowledge and reasoning
- Qwen 3 235b A22B: 76.2%Top
- GLM 4.6V: 75.2%
IFBench
Following precise output instructions
- Qwen 3 235b A22B: 36.6%Top
- GLM 4.6V: 27.9%
Coding
LiveCodeBench
Recent competitive programming problems
- Qwen 3 235b A22B: 34.3%
- GLM 4.6V: 41.1%Top
Math
AIME 2025
Competition mathematics, 2025 problems
- Qwen 3 235b A22B: 23.7%
- GLM 4.6V: 26.3%Top
AIME
Competition mathematics
- Qwen 3 235b A22B: 32.7%
- GLM 4.6V: —
MATH-500
Competition math problems
- Qwen 3 235b A22B: 90.2%
- GLM 4.6V: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Qwen 3 235b A22B: 6.1%Top
- GLM 4.6V: 3.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Qwen 3 235b A22B: 27.2%
- GLM 4.6V: 30.7%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Qwen 3 235b A22B: 0.0%
- GLM 4.6V: 17.0%Top
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
- 0.0%
- About $0.0875 per 1M input tokens with caching
- Request success (24h)
- 91.5%
- Unstable
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.
- 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": "qwen/qwen3-235b-a22b",
"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/qwen3-235b-a22b",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.